Вакансии

Location: Milwaukee, United States The Opportunity: Join a large, nationally recognized academic medical center as a Faculty Cytopathologist within a highly collaborative and subspecialized department. This role offers the opportunity to practice high-level cytopathology in a high-volume setting while engaging in teaching, research, and multidisciplinary care. With access to advanced diagnostic technologies and strong institutional support, this position is ideal for a pathologist seeking academic growth and a dynamic clinical environment. About the Practice: The Department of Pathology & Laboratory Medicine is a physician-led academic group with over 50 faculty members and a fully subspecialized practice model. The division processes a high volume of surgical and cytology specimens annually and maintains close collaboration with clinical teams across multiple specialties. The department supports comprehensive residency and fellowship programs and offers access to a robust translational research core with advanced molecular diagnostics and next-generation sequencing capabilities. Position Highlights: Subspecialty-focused cytopathology sign-out within a high-volume academic practice Participation in fine needle aspiration (FNA) procedures and on-site evaluations Opportunities for teaching residents and fellows in an established training program Involvement in multidisciplinary conferences and tumor boards Access to advanced diagnostic technologies and research infrastructure Faculty appointment at the Assistant, Associate, or Full Professor level Candidate Qualifications MD or DO with board certification in Anatomic and/or Clinical Pathology Fellowship training in Cytopathology Eligible for medical licensure in the applicable state Strong diagnostic skills and interest in academic pathology Excellent communication skills and collaborative mindset Compensation & Benefits: Competitive academic compensation package commensurate with experience Comprehensive benefits including health, dental, vision, and retirement plans CME allowance and academic support Malpractice coverage

Location: United States - Remote Workplace: remote About the Role The Technical Account Manager (TAM) is a deeply technical post-sales role focused on driving successful adoption of Azul Prime within a portfolio of strategic customers. Unlike a traditional TAM role, this position is hands-on and technical first. You will spend the majority of your time engaged with customer engineering teams on JVM performance tuning, troubleshooting, reliability engineering, and architectural guidance. Strong relationship skills matter, but it is technical credibility with developers, SREs, and architects that makes this role successful. You will be trusted by Azul’s most important accounts to ensure that their mission-critical Java applications run on Prime with the best possible performance, stability, and cost efficiency. And you will serve as the bridge between customers and Azul’s engineering organization, feeding real-world insights back into the product. What Makes This Role Different Technical depth first. Expect to spend significant time reading thread dumps, GC logs, and flight recordings — not building slide decks. Direct partnership with Azul engineering. You will work side-by-side with our runtime, GC, JIT compiler, and tooling teams on complex customer issues. Ownership of technical outcomes. You own production adoption of Azul Prime within your accounts — from candidate application selection through successful rollout and ongoing optimization. Key Responsibilities Strategic Account Ownership Own a portfolio of named strategic customers, with flexibility to engage additional high-value Azul Prime customers as opportunities arise. Build and maintain deep, long-term relationships with technical stakeholders — SREs, Java developers, platform engineers, and architects. Partner closely with Sales, Customer Success, and Support on joint account planning, renewals, and expansion opportunities. Technical Leadership Serve as the primary technical advisor for Azul Prime across your accounts. Lead troubleshooting, root cause analysis, and performance tuning engagements for JVM-based applications running at enterprise scale. Provide architectural guidance on reliability, scalability, latency, throughput, and cloud cost optimization. Work with customers to identify and qualify candidate applications for Azul Prime, then partner with them through successful production deployment. Product & Engineering Partnership Collaborate with Azul’s runtime, compiler, GC, and tooling engineering teams to resolve complex technical issues. Channel structured, actionable customer feedback into Azul’s product and engineering organizations to help shape the roadmap. Act as a senior point of technical escalation for high-severity issues within your accounts. Enablement & Knowledge Sharing Design and deliver customer-facing workshops, training sessions, and technical business reviews. Create and maintain high-quality technical documentation, runbooks, and reusable customer-facing assets for Azul Prime. Share knowledge internally, mentoring peers across the TAM, Sales Engineering, and Support organizations. Keep internal systems current with account activity, engagement notes, and customer outcomes. Required Qualifications 12+ years in senior technical roles such as software engineering, SRE, performance engineering, or cloud/platform engineering. 8+ years in customer-facing technical roles (TAM, solutions architect, consulting engineer, or SRE with direct customer engagement). Strong working knowledge of Java programming and JVM internals — garbage collection, JIT compilation, class loading, threading, and memory model. Demonstrated experience tuning and troubleshooting enterprise-scale Java applications in production. Demonstrated ability to perform root cause analysis and apply structured problem-solving techniques. Strong Linux fundamentals, including shell scripting and performance troubleshooting on Linux systems. Hands-on experience with distributed systems, public cloud platforms (AWS, GCP, and/or Azure), and containerization (Kubernetes, Docker). Excellent written and verbal communication skills, with the ability to translate complex technical concepts for audiences ranging from individual engineers to senior executives. Based in North America and able to travel occasionally to customer sites (typically 10–20%). Preferred Qualifications Deep specialization in JVM performance tuning, GC behavior analysis, and low-latency Java applications. Experience with observability and monitoring stacks (Prometheus, Grafana, Datadog, New Relic, Dynatrace, JFR, or similar APM tools). Familiarity with microservices architectures and modern cloud-native Java deployment patterns. Cloud platform certification (AWS, Azure, GCP) or SRE-related certifications. Contributions to open-source Java projects or active participation in the broader Java technical community. Experience using Jira and Confluence to raise bugs and maintain documentation. Prior experience with Azul Prime, OpenJDK, HotSpot, or other commercial Java runtimes. Why Azul At Azul, you will work alongside a team of Java experts who genuinely love the platform, on problems that matter to some of the most demanding engineering organizations in the world. Our technology powers mission-critical Java workloads at massive scale, and our customers rely on us precisely because we go deeper on Java than anyone else. If you want your technical expertise to have outsized impact — and you want to be surrounded by people who share that passion — we would love to talk! What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Azul participates in E-Verify. As a US employer, Azul Systems, Inc. uses E-Verify to confirm the employment eligibility of all newly hired employees working in the United States. For more information about E-Verify, please visit www.e-verify.gov.   Employment at Azul is contingent upon the completion of reference and background checks. We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is $150,000 and this job is also eligible for commission/variable pay.  Individual base salaries are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our benefit package includes medical and dental coverage, 401(k) plan, and a wide range of paid time off options.

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 • Establish functional, performance, environmental and security requirements with mission stakeholders & CONOPs. • Translate requirements into clear payload performance parameters and maintain bidirectional traceability throughout the project lifecycle. • Establish with cybersecurity team payload‑specific requirements & embed resilience and security by design. Payload Architecture Definition • Define the overall digital regenerative payload architecture (optical/RF ISLs, antenna arrays, digitizers/ onboard processing, Feeder links, master reference oscillator & clock synchronizations). • Define Interface Control Documents (ICDs) with spacecraft bus, ground segment and payload specific subsystems. • Define high‑speed data‑bus I/F (Serdes, SpaceWire, SpaceFibre, Ethernet, CAN, fiber). Trade‑Study & Technology Road‑Mapping • Lead trade‑offs for technologies, ASIC/FPGAs/SoCs, high‑speed data‑bus, and on‑board processing algorithms, PVT. • Identify emerging technologies and incorporate them into the company’s long‑term roadmap. System Modeling & Performance Simulation • Build end‑to‑end models of the signal chain (optical/RF, analog/digital) using MATLAB/Simulink, SystemView or Python‑based toolkits. • Run Monte‑Carlo and tolerance analyses to verify gain, SNR, dynamic range, spectral efficiency, G/T, EIRP and other key metrics. • Optimize payload design and performance with operation with traffic models/CONOPs. Simulation & Analysis • Oversee performance simulations & analysis (Gain, Spurious, Linearity, SNR, dynamic range, spectral efficiency, pointing, G/T, EIRP…etc.) and tolerance budgeting. • Optimize Payload DC power budget with traffic & utilization models. Hardware & Firmware • Own system‑level specifications to hardware designers, review schematics, layouts, thermal & mechanical interfaces. • Oversee MODCODs selection and on‑board processing pipelines; define BIST, timing, latency and deterministic behavior. Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Act as the primary technical liaison with Electrical, Power, Structures, Thermal, Software, Ground Segment and Mission Operations teams to resolve integration issues early. • Support payload design authority in System design reviews and Mission Operations hand‑over. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Author Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test, environmental and electromagnetic compatibility (EMC) test campaigns. • Define 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, software, deliverables and documentation are version controlled in PLM environment. • Chair design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. On Orbit & Operations Support • 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. • Define SOOH and associated operator training. Required Qualifications:  B.Sc. in Electrical Engineering, Aerospace or Physics (M.Sc. preferred) with 12 + years of digital regenerative payload system design experience on LEO/MEO missions.  Comprehensive knowledge of digital regenerative communications, SDR, DSP, DVB RCS/SX protocols, Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G, NTN.  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: 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, environmental and security requirements from mission stakeholders & CONOPs. • Map requirements to payload equipment performance with I/F with on-board processor • Coordinate with cybersecurity team for payload‑specific assessments • Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Payload Architecture & Design • Implement the high‑level digital payload architecture (optical ISLs, Phased array antennas, Feeder links & front‑end), master reference oscillator & clock synchronizations. • Produce Interface Control Documents (ICDs) with other subsystems and ground segment. • Implement high‑speed data‑bus I/F (SpaceWire, SpaceFibre, Ethernet, CAN). Simulation & Analysis • Perform performance simulations (Gain, Spurious, Linearity, SNR, dynamic range, spectral efficiency, G/T, EIRP…etc.) and Monte‑Carlo analyses for tolerance budgeting. • Define and maintain Payload DC power budget with traffic & utilization models • Perform FMECA, Fault tree and FDIR, reliability modeling and availability to meet mission objectives Hardware & Firmware • Provide system‑level specifications to hardware designers, review schematics, layouts, thermal interfaces, and mechanical constraints. • Support SW development for MODCODs and on‑board processing pipelines; ensure BIST, timing, latency and deterministic behavior. 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, software, 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, Aerospace or Physics with 8 + years of digital regenerative payload system design experience on LEO/MEO missions.  Comprehensive knowledge of digital communications, SDR, DSP, DVB RCS/SX protocols, Modulation schemes, Class of Service, Networking, MPLS, 2G, 5G NTN.  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: 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 Location: Goodyear, Arizona Employment Type: Part-Time, Adjunct Faculty Instructional Format: Hybrid and Online Graduate Courses Position Summary 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 a dedicated and qualified Adjunct Instructor in Accounting to join our graduate faculty in Goodyear, Arizona. The successful candidate will primarily teach AC 601 – Financial Accounting for Decision Making, a graduate-level course designed to develop students' understanding of accounting principles, financial reporting, and the use of financial information in business decision-making. The ideal candidate will possess a strong academic background in accounting, substantial professional experience in financial accounting or related business functions, and a passion for teaching and mentoring adult learners in accelerated graduate programs. Successful candidates will be considered for inclusion in our adjunct faculty pool. Teaching assignments will be determined based on course availability, enrollment, and institutional needs. Primary Teaching Assignment This graduate-level course introduces essential accounting concepts and procedures that support effective organizational decision-making. The course emphasizes the preparation, interpretation, and analysis of accounting information to evaluate organizational performance and inform management decisions. Faculty should be prepared to teach topics including: Fundamental financial accounting principles and concepts Accounting transactions and the accounting cycle Preparation and interpretation of financial statements Financial reporting and accounting standards Analysis of financial information for business decision-making Financial performance evaluation and organizational effectiveness The role of accounting information across business functions Ethical considerations and the impact of globalization on accounting practices Practical applications of accounting through real-world business cases The instructor is expected to connect accounting theory with contemporary business practices, helping graduate students develop analytical, critical-thinking, and financial decision-making skills applicable to management and leadership roles. Responsibilities Instruction & Delivery Deliver high-quality graduate-level accounting instruction through online and hybrid formats, incorporating in-person, synchronous, and asynchronous learning activities. Apply effective teaching strategies appropriate for accelerated graduate programs and adult learners with diverse professional and academic backgrounds. Explain complex financial accounting concepts clearly and demonstrate their practical application to organizational decision-making. Incorporate real-world financial statements, business cases, accounting scenarios, and financial analysis exercises into instruction. Develop and facilitate engaging learning activities that strengthen students' accounting knowledge, analytical reasoning, and problem-solving abilities. Assess student performance through assignments, examinations, case studies, and other appropriate evaluation methods. Mentorship & Student Support Provide timely, constructive feedback on student assignments and assessments. Support students with varying levels of prior accounting knowledge. Assist students in developing confidence in interpreting financial information and applying accounting principles. Foster a supportive, inclusive, and collaborative learning environment that encourages critical thinking and professional development. Collaboration & Coordination Collaborate with academic leadership and other faculty members to ensure course delivery aligns with approved curriculum, learning outcomes, and institutional academic standards. Communicate regularly with the Academic Department regarding student progress, instructional needs, and course-related concerns. Participate in faculty meetings, onboarding, and professional development activities as required. Contribute recommendations for improving accounting instruction based on industry practices and student learning needs. Professional Development Maintain current knowledge of financial accounting standards, regulatory developments, and contemporary accounting practices. Engage in professional development related to graduate teaching, instructional technologies, and assessment strategies. Incorporate relevant industry developments and professional accounting practices into course instruction. Administrative Duties Maintain accurate and timely records of student grades, attendance, and academic performance in the university's learning management system. Submit grades, attendance, and other required academic documentation according to institutional deadlines. Ensure compliance with university academic policies, procedures, and accreditation requirements. Participate in course assessment and continuous improvement activities as requested. Qualifications Required Qualifications Doctorate in Accounting, Business Administration with an Accounting concentration, or a closely related field. A Master's degree in Accounting or a closely related field, combined with 10 or more years of significant professional accounting experience , may be considered in lieu of a doctorate. Minimum of 5 years of relevant professional experience in financial accounting, corporate accounting, financial reporting, auditing, financial management, or a closely related field. Strong knowledge of financial accounting principles, financial statement preparation and analysis, and the use of accounting information in business decision-making. Demonstrated ability to communicate technical accounting concepts clearly to students with diverse academic and professional backgrounds. Strong communication, organizational, collaboration, and time-management skills. Ability to deliver effective instruction using online and hybrid teaching technologies. Preferred Qualifications Certified Public Accountant (CPA) designation or an equivalent recognized professional accounting credential. Previous teaching, training, or adjunct faculty experience at the undergraduate or graduate level. Experience teaching accounting or financial management to MBA students or adult professionals. Professional experience in corporate finance, financial reporting, auditing, controllership, or management accounting. Familiarity with accounting software, financial reporting technologies, and spreadsheet-based financial analysis. Experience using Canvas or a comparable learning management system. Experience developing practical accounting exercises, financial statement analysis assignments, and case-based learning activities. Terms of Employment Employment Classification: Adjunct Faculty FLSA Status: Exempt Teaching assignments are subject to institutional needs, course availability, enrollment, and faculty qualifications. Instruction may include online and scheduled on-campus components at the Goodyear, Arizona location. Additional Position Requirements Communication: Maintains professional communication with university faculty, staff, students, and external constituents. Uses institutional technology effectively in the performance of assigned duties. Reasoning Ability: Demonstrates the ability to solve practical problems, interpret financial and academic information, analyze data, and exercise independent judgment when addressing instructional challenges. Language Skills: Must be able to read, write, understand, and communicate effectively in English. Must demonstrate the ability to explain accounting concepts, interpret professional and academic materials, and provide clear written and verbal feedback. Physical Demands: The physical demands described here are representative of those required to perform the essential functions of the position. Duties may involve sitting, standing, moving within an office or classroom environment, using a computer and keyboard, reading instructional materials, and communicating in person or through video technology. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Work Environment: Work may be performed in classroom, office, and remote instructional environments. The typical noise level in the workplace is moderate. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other Skills/Abilities: Ability to establish and maintain effective working relationships with university faculty, staff, students, and external stakeholders. Demonstrates professionalism, independent problem-solving abilities, and sound academic judgment. Evaluation: Performance will be evaluated in accordance with Avila University policies and applicable adjunct faculty expectations. Equal Employment Opportunity Statement 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. 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. The information contained in this job description is intended to describe the general nature and level of work performed and is not an exhaustive list of duties and responsibilities. Additional responsibilities may be assigned based on institutional needs. 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 Location: Goodyear, Arizona Employment Type: Part-Time, Adjunct Faculty Instructional Format: Hybrid and Online Graduate Courses Position Summary 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 a dedicated and qualified Adjunct Instructor in Accounting to join our graduate faculty in Goodyear, Arizona. The successful candidate will primarily teach AC 601 – Financial Accounting for Decision Making, a graduate-level course designed to develop students' understanding of accounting principles, financial reporting, and the use of financial information in business decision-making. The ideal candidate will possess a strong academic background in accounting, substantial professional experience in financial accounting or related business functions, and a passion for teaching and mentoring adult learners in accelerated graduate programs. Successful candidates will be considered for inclusion in our adjunct faculty pool. Teaching assignments will be determined based on course availability, enrollment, and institutional needs. Primary Teaching Assignment This graduate-level course introduces essential accounting concepts and procedures that support effective organizational decision-making. The course emphasizes the preparation, interpretation, and analysis of accounting information to evaluate organizational performance and inform management decisions. Faculty should be prepared to teach topics including: Fundamental financial accounting principles and concepts Accounting transactions and the accounting cycle Preparation and interpretation of financial statements Financial reporting and accounting standards Analysis of financial information for business decision-making Financial performance evaluation and organizational effectiveness The role of accounting information across business functions Ethical considerations and the impact of globalization on accounting practices Practical applications of accounting through real-world business cases The instructor is expected to connect accounting theory with contemporary business practices, helping graduate students develop analytical, critical-thinking, and financial decision-making skills applicable to management and leadership roles. Responsibilities Instruction & Delivery Deliver high-quality graduate-level accounting instruction through online and hybrid formats, incorporating in-person, synchronous, and asynchronous learning activities. Apply effective teaching strategies appropriate for accelerated graduate programs and adult learners with diverse professional and academic backgrounds. Explain complex financial accounting concepts clearly and demonstrate their practical application to organizational decision-making. Incorporate real-world financial statements, business cases, accounting scenarios, and financial analysis exercises into instruction. Develop and facilitate engaging learning activities that strengthen students' accounting knowledge, analytical reasoning, and problem-solving abilities. Assess student performance through assignments, examinations, case studies, and other appropriate evaluation methods. Mentorship & Student Support Provide timely, constructive feedback on student assignments and assessments. Support students with varying levels of prior accounting knowledge. Assist students in developing confidence in interpreting financial information and applying accounting principles. Foster a supportive, inclusive, and collaborative learning environment that encourages critical thinking and professional development. Collaboration & Coordination Collaborate with academic leadership and other faculty members to ensure course delivery aligns with approved curriculum, learning outcomes, and institutional academic standards. Communicate regularly with the Academic Department regarding student progress, instructional needs, and course-related concerns. Participate in faculty meetings, onboarding, and professional development activities as required. Contribute recommendations for improving accounting instruction based on industry practices and student learning needs. Professional Development Maintain current knowledge of financial accounting standards, regulatory developments, and contemporary accounting practices. Engage in professional development related to graduate teaching, instructional technologies, and assessment strategies. Incorporate relevant industry developments and professional accounting practices into course instruction. Administrative Duties Maintain accurate and timely records of student grades, attendance, and academic performance in the university's learning management system. Submit grades, attendance, and other required academic documentation according to institutional deadlines. Ensure compliance with university academic policies, procedures, and accreditation requirements. Participate in course assessment and continuous improvement activities as requested. Qualifications Required Qualifications Doctorate in Accounting, Business Administration with an Accounting concentration, or a closely related field. A Master's degree in Accounting or a closely related field, combined with 10 or more years of significant professional accounting experience , may be considered in lieu of a doctorate. Minimum of 5 years of relevant professional experience in financial accounting, corporate accounting, financial reporting, auditing, financial management, or a closely related field. Strong knowledge of financial accounting principles, financial statement preparation and analysis, and the use of accounting information in business decision-making. Demonstrated ability to communicate technical accounting concepts clearly to students with diverse academic and professional backgrounds. Strong communication, organizational, collaboration, and time-management skills. Ability to deliver effective instruction using online and hybrid teaching technologies. Preferred Qualifications Certified Public Accountant (CPA) designation or an equivalent recognized professional accounting credential. Previous teaching, training, or adjunct faculty experience at the undergraduate or graduate level. Experience teaching accounting or financial management to MBA students or adult professionals. Professional experience in corporate finance, financial reporting, auditing, controllership, or management accounting. Familiarity with accounting software, financial reporting technologies, and spreadsheet-based financial analysis. Experience using Canvas or a comparable learning management system. Experience developing practical accounting exercises, financial statement analysis assignments, and case-based learning activities. Terms of Employment Employment Classification: Adjunct Faculty FLSA Status: Exempt Teaching assignments are subject to institutional needs, course availability, enrollment, and faculty qualifications. Instruction may include online and scheduled on-campus components at the Goodyear, Arizona location. Additional Position Requirements Communication: Maintains professional communication with university faculty, staff, students, and external constituents. Uses institutional technology effectively in the performance of assigned duties. Reasoning Ability: Demonstrates the ability to solve practical problems, interpret financial and academic information, analyze data, and exercise independent judgment when addressing instructional challenges. Language Skills: Must be able to read, write, understand, and communicate effectively in English. Must demonstrate the ability to explain accounting concepts, interpret professional and academic materials, and provide clear written and verbal feedback. Physical Demands: The physical demands described here are representative of those required to perform the essential functions of the position. Duties may involve sitting, standing, moving within an office or classroom environment, using a computer and keyboard, reading instructional materials, and communicating in person or through video technology. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Work Environment: Work may be performed in classroom, office, and remote instructional environments. The typical noise level in the workplace is moderate. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other Skills/Abilities: Ability to establish and maintain effective working relationships with university faculty, staff, students, and external stakeholders. Demonstrates professionalism, independent problem-solving abilities, and sound academic judgment. Evaluation: Performance will be evaluated in accordance with Avila University policies and applicable adjunct faculty expectations. Equal Employment Opportunity Statement 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. 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. The information contained in this job description is intended to describe the general nature and level of work performed and is not an exhaustive list of duties and responsibilities. Additional responsibilities may be assigned based on institutional needs. 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: Λευκωσία, Nicosia, Cyprus About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About The Role Our Marketplace team builds the models and algorithms that balance supply and demand, optimising pricing and matching to ensure chauffeurs earn and passengers aren't left waiting. We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery. We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform. Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section. Responsibilities Write high-quality, performant code primarily in Go. Implement new microservices while helping us responsibly manage and migrate away from legacy services. Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs. Ensure our systems stay responsive under heavy load, optimising for both latency and reliability. Requirements 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services. We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Ruby). In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka. Upper-Intermediate (B2) English proficiency or higher. You should be comfortable debating technical trade-offs with your peers. What We Offer Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice Competitive salary Employee stock options plan Private medical and dental insurance Daily Lunch allowance Latest-generation MacBook Pro and 4k display Professional development stipend Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Location: Λευκωσία, Nicosia, Cyprus About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About the Role Our Mapping team tackles the spatial intelligence of the platform: road matching, low-latency ETA predictions, and processing thousands of coordinates every second to ensure every journey is accurately tracked. We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery. We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform. Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section. Responsibilities Write high-quality, performant code primarily in Go. Implement new microservices while helping us responsibly manage and migrate away from legacy services. Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs. Ensure our systems stay responsive under heavy load, optimising for both latency and reliability. Requirements 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services. We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Ruby). In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka. At least 1 year of hands-on experience with mapping-related work such as processing noisy geospatial data, map-matching techniques, or road network graphs and routing algorithms. Upper-Intermediate (B2) English proficiency or higher. You should be comfortable debating technical trade-offs with your peers. Nice To Have Driver-side intuition for navigation systems (rerouting behavior, GPS drift, missed turns, real-world edge cases). Experience with routing engines like OSRM. Proficiency in C++. Familiarity with open geospatial datasets such as OpenStreetMap. What We Offer Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice Competitive salary Employee stock options plan Private medical and dental insurance Daily Lunch allowance Latest-generation MacBook Pro and 4k display Professional development stipend Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Collections Experience owns the product experience for Notion’s database block and everything on top of it: properties, views, forms, permissions, and many more features. If you’ve ever typed /database in a Notion page, you’ve already used something our team built. We’re hiring an experienced software engineer to accelerate our mission to build a flexible, reliable, and intuitive primitive that gives everyone the power to model their work exactly as they imagine— from simple lists to the most complex workflows. We’re 8+ engineers, designers, and PMs across SF and NYC. You’ll work across the stack in TypeScript, ship features that touch both the data model and the UI, and help shape where the database block goes next. WHAT YOU'LL ACHIEVE - Design and ship new database properties and views that expand what people can model in Notion - Design permission models that hold up at the scale of our largest customers - Partner with the Agent team to grow what Notion Agent can do with databases, from tool development to eval-driven iteration - Collaborate closely with product and design on features that are ambiguous up front and require strong technical judgment to scope - Raise the bar on code review, testing, and technical design across the team SKILLS YOU'LL NEED TO BRING - 10+ years shipping production software, with a strong track record of owning features end-to-end - Fluency with TypeScript across both backend and frontend - Strong product instincts: you can take a vague problem, propose a solid technical approach, and know when to cut scope - Experience on systems where data model decisions have long-lived consequences (databases, permissions, collaborative editing, or similar) - You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results. NICE TO HAVES: - Experience building database, spreadsheet, or workflow tools - Background in permissions or authorization systems at scale - Familiarity with AI/agent tooling, evals, or LLM-driven product experiences Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $213,000 - $320,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Johannesburg Workplace: remote About Lyra Lyra Health is the leading provider of mental health solutions for employers supporting more than 20 million people globally. The company has delivered 13 million sessions of mental health care, published more than 20 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. Role Overview The international data team is undergoing a complete transformation of their data architecture, migration from a legacy SQL server, Azure Data Factory, SSAS and Power BI stack to Snowflake, dbt, Airflow, Tableau and Sigma. This opportunity will give the successful candidate a chance to share knowledge about best practices with Snowflake and dbt with the team, as well as a chance to build data infrastructure from scratch. Key Responsibilities: Build and maintain pipelines to ingest data from Salesforce and various other data sources Build and maintain dbt models to transform data using Medallion architecture for use by business intelligence tools Work closely with our Business Intelligence team - monitoring and implementing enhancement requests for the data warehouse to meet the reporting demands of stakeholders Work collaboratively with team members in different timezones The successful candidate will also be given the opportunity to develop mentoring skills as we look to expand the team’s skillset to match those of our counterpart US team. As we work collaboratively with team members in different time zones, it is important that the candidate has strong interpersonal skills. Requirements: 3+ years experience in data engineering Experience in development of pipelines to ingest and transform data from sources using REST APIs, AWS S3 and Airflow Experience in building dbt models to transform data using Medallion architecture Experience in maintaining dimensional data models with Type 2 SCDs and star schemas Experience in maintaining data warehouses on SQL Server Experience working with Snowflake, dbt and Tableau is essential In accordance with the Employment Equity Act, preference will be given to suitably qualified candidates from designated groups, including persons with disabilities. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law. By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice."

Location: UK (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects. In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others. You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations. WHAT YOU’LL DELIVER - Depending on the task, you may be asked to generate original content or assess AI-generated outputs. - Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit. - Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches. - Provide concise, structured annotations that can be used directly for model improvement. - Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards QUALIFICATIONS - Native fluency in the target language - Experience as AI reviewer, annotator, or evaluator preferred - Comfortable working with both textual and audio/video materials - Ability to follow detailed guidelines consistently and provide clear feedback - High attention to detail and ability to thoroughly and accurately categorize content WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY 1 - Submit your application including an updated copy of your CV in English 2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Ireland (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects. In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others. You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations. WHAT YOU’LL DELIVER - Depending on the task, you may be asked to generate original content or assess AI-generated outputs. - Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit. - Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches. - Provide concise, structured annotations that can be used directly for model improvement. - Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards QUALIFICATIONS - Native fluency in the target language - Experience as AI reviewer, annotator, or evaluator preferred - Comfortable working with both textual and audio/video materials - Ability to follow detailed guidelines consistently and provide clear feedback - High attention to detail and ability to thoroughly and accurately categorize content WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY 1 - Submit your application including an updated copy of your CV in English 2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: UK (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects. In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others. You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations. WHAT YOU’LL DELIVER - Depending on the task, you may be asked to generate original content or assess AI-generated outputs. - Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit. - Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches. - Provide concise, structured annotations that can be used directly for model improvement. - Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards QUALIFICATIONS - Native fluency in the target language - Experience as AI reviewer, annotator, or evaluator preferred - Comfortable working with both textual and audio/video materials - Ability to follow detailed guidelines consistently and provide clear feedback - High attention to detail and ability to thoroughly and accurately categorize content WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY 1 - Submit your application including an updated copy of your CV in English 2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: New York City Workplace: OnSite ABOUT PEEC AI AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions. Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people 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.