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Location: United States About the Role Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Inpatient Medical Coding Specialist with an active CCS or CIC credential to contribute to a project focused on improving the accuracy and clinical understanding of advanced AI systems. You will review and annotate inpatient medical records, assign and validate ICD-10-CM and ICD-10-PCS codes, determine principal and secondary diagnoses, and verify MS-DRG assignments. You will apply official inpatient coding guidelines, identify documentation gaps, and provide expert feedback on complex coding cases. The ideal candidate has hands-on inpatient coding experience, strong knowledge of UHDDS, POA indicators, CC/MCC classification, and current coding standards, and exceptional attention to detail. Prior AI experience is not required. SENIORITY: Experienced / Specialist LANGUAGE: Strong written and verbal English LOCATION: Remote — United States Key Responsibilities Annotate and review inpatient medical records, including admission notes, progress notes, operative reports, consultations, laboratory and imaging results, and discharge summaries. Assign accurate ICD-10-CM and ICD-10-PCS codes based on clinical documentation and applicable coding guidelines. Identify principal and secondary diagnoses and sequence codes according to official inpatient coding conventions. Assign Present on Admission (POA) indicators and validate MS-DRG assignments, including the identification of Complications or Comorbidities (CCs) and Major Complications or Comorbidities (MCCs). Apply UHDDS definitions, ICD-10-CM/PCS Official Guidelines for Coding and Reporting, and relevant AHA Coding Clinic guidance. Identify hospital-acquired conditions (HACs), patient safety indicators, and documentation inconsistencies where applicable. Collaborate with project stakeholders to clarify coding requirements, resolve documentation ambiguities, and maintain data integrity. Provide structured feedback on coding guidelines, complex cases, and recurring errors to support workflow improvements and AI model training. Ensure all coding annotations are accurate, complete, consistent, and aligned with current coding standards. Requirements Active AHIMA Certified Coding Specialist (CCS) or AAPC Certified Inpatient Coder (CIC) credential. Hands-on experience with inpatient medical coding. Strong knowledge of ICD-10-CM, ICD-10-PCS, and MS-DRG methodology. Understanding of principal diagnosis selection, secondary diagnosis reporting, code sequencing, POA indicators, CC/MCC classification, and applicable inpatient coding guidelines. Experience reviewing clinical documentation and resolving complex coding challenges. Strong written and verbal communication skills. Excellent attention to detail and the ability to apply coding rules consistently. Access to current ICD-10-CM/PCS code sets, official coding guidelines, and appropriate MS-DRG grouper tools.

Location: United States; Canada; United Kingdom; Australia; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a Chemistry and Computational Research Specialistwith doctoral-level expertise to contribute to projects focused on training and benchmarking next-generation AI systems. You will design and evaluate chemistry problems, validate scientific reasoning, analyze experimental and computational data, and assess AI-generated research outputs for accuracy and reproducibility. Depending on your specialization, you may work with reaction mechanisms, synthesis planning, spectroscopy, molecular simulations, electronic structure calculations, or cheminformatics. The ideal candidate combines deep chemistry knowledge with hands-on laboratory or computational research experience, strong quantitative reasoning, and the ability to communicate complex scientific findings clearly. Prior AI experience is not required. SENIORITY: PhD-Level Research Specialist LANGUAGE: Professional English — C1 or higher TARGET LOCATIONS: US and Canada are our top priorities, followed by the UK, Australia, and NZ. We’re open to candidates worldwide as long as they meet the C1 English level. Key Responsibilities Design, evaluate, and critique chemistry problems, computational workflows, and scientific reasoning chains for AI benchmarking initiatives. Assess chemical reasoning involving reaction mechanisms, synthesis planning, retrosynthesis, spectroscopy, and molecular modeling. Evaluate experimental protocols, simulation parameters, and scientific software configurations for accuracy and reproducibility. Analyze chemical, spectroscopic, experimental, and simulation data to identify errors, limitations, and opportunities for improvement. Apply domain expertise to guide the development and validation of chemistry-focused AI models and scientific tools. Review AI-generated scientific outputs for correctness, completeness, methodological soundness, and consistency with established chemical principles. Document research methods, findings, limitations, and best practices to support reproducibility and knowledge transfer. Communicate complex scientific concepts clearly to technical and non-technical collaborators. Areas of Expertise Candidates should have deep expertise in at least one of the following areas: Organic synthesis and reaction mechanisms Inorganic and organometallic chemistry Physical and theoretical chemistry Analytical chemistry and spectroscopy Computational chemistry and molecular dynamics Cheminformatics and drug discovery Materials science and polymer chemistry Requirements PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related field. Hands-on research experience in a laboratory setting for experimental chemistry specializations, or extensive simulation-based research experience for computational specializations. Deep expertise in at least one of the listed chemistry or computational research areas. Professional written and spoken English proficiency at C1 level or higher. Proficiency in Python and/or relevant scientific software used in your specialization. Familiarity with applicable tools such as Gaussian, ORCA, Psi4, GROMACS, LAMMPS, or RDKit. Excellent quantitative, analytical, and scientific reasoning skills. Strong written and verbal communication skills, including the ability to document and explain technical concepts. Demonstrated ability to solve complex chemistry problems rigorously and evaluate scientific results critically.

Location: United States; Canada; United Kingdom; Australia; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a Biology and Bioinformatics Research Specialist with doctoral-level expertise or equivalent research experience to support projects focused on training and benchmarking next-generation AI systems. You will design, evaluate, and improve biological data analysis workflows, validate computational methods, and assess AI-generated scientific outputs for accuracy and reproducibility. Working across areas such as genomics, transcriptomics, proteomics, computational biology, and biostatistics, you will apply rigorous scientific reasoning to real biological datasets and communicate findings clearly to technical and scientific collaborators. Prior AI experience is not required; deep domain expertise and hands-on computational research skills are the priority. SENIORITY: PhD-Level Research Specialist / Experienced Researcher LANGUAGE: Professional English — C1 or higher TARGET LOCATIONS: US and Canada are our top priorities, followed by the UK, Australia, and NZ. We’re open to candidates worldwide as long as they meet the C1 English level. Key Responsibilities Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives. Review genomic, transcriptomic, proteomic, and other biological data analysis pipelines for scientific accuracy and reproducibility. Assess and optimize pipeline parameters, software configurations, and statistical methods. Analyze biological datasets, including next-generation sequencing (NGS), RNA-seq, single-cell data, variant-calling outputs, and protein structures. Validate computational approaches and provide actionable recommendations to improve scientific reliability. Apply domain expertise to guide the development and evaluation of biology-focused AI models and tools. Document methodologies, findings, limitations, and best practices to support reproducible research and knowledge transfer. Communicate complex scientific concepts clearly to both technical and non-technical stakeholders. Areas of Expertise Candidates should have deep expertise in at least one of the following areas: Genomics and next-generation sequencing (NGS) analysis Transcriptomics and single-cell analysis Proteomics and structural biology Molecular and cell biology Systems biology and biological network analysis Drug discovery and computational pharmacology Biostatistics and machine learning applied to biology Requirements PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM field, or equivalent industry or research experience. Professional written and spoken English proficiency at C1 level or higher. Deep expertise in at least one relevant biological or computational research area. Hands-on experience analyzing real biological datasets. Proficiency in Python and/or R for scientific analysis. Experience with relevant tools and libraries, such as BLAST, samtools, GATK, Bioconductor, or Biopython, depending on the candidate's specialization. Strong statistical, quantitative, analytical, and scientific reasoning skills. Excellent written and verbal communication skills, including the ability to explain technical methods and document results. Demonstrated ability to solve complex biological or computational problems rigorously.

Location: India; Pakistan; Dominican Republic; Bolivia, Plurinational State of; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly organized Workforce Planning & Resource Coordination Specialistto support the daily planning and deployment of more than 1,800 contributorsacross multiple AI training projects. Reporting to the Supply Manager, you will allocate contributors according to project demand, maintain accurate workforce and capacity data, coordinate resource movements, and work closely with Project, Training, and Onboarding Leads. The ideal candidate has experience in operations coordination, workforce management, or resource planning, with strong spreadsheet skills, attention to detail, and the ability to make data-driven decisions in a fast-paced, shift-based environment. Key Responsibilities Allocate and reassign contributors across projects based on changing demand, capacity, and operational priorities. Coordinate access permissions, training requirements, and instructions associated with resource movements. Maintain accurate and up-to-date records of contributor deployment, status, performance, and availability. Monitor project capacity, throughput, onboarding, and offboarding to support effective workforce utilization. Identify capacity shortages, resource conflicts, and data inconsistencies, escalating risks to the appropriate stakeholders. Track resource requests from initial submission through allocation and completion. Coordinate with Project, Training, Onboarding, and Supply teams to ensure smooth resource deployment. Conduct clear shift handoffs, documenting outstanding requests, pending actions, and operational risks. Recommend improvements to resource planning processes, tracking systems, and workforce management workflows. Support timely, accurate decision-making in a dynamic environment with competing operational priorities. Requirements Professional experience in operations coordination, workforce management, resource planning, or a similar role. Strong spreadsheet skills and experience maintaining structured datasets, tracking records, and managing operational information. Excellent organizational skills and attention to detail. Ability to analyze capacity and resource data to make accurate, data-driven decisions under pressure. Strong communication and stakeholder-management skills. Ability to track multiple requests, deadlines, and dependencies simultaneously. Comfortable working in a fast-paced, shift-based environment and completing clear handoffs between teams. Availability to work the specified schedule for the full 16-week project.

Location: Argentina; Peru; Mexico; Brazil; Chile; Colombia About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly organized Workforce Planning & Resource Coordination Specialistto support the daily planning and deployment of more than 1,800 contributorsacross multiple AI training projects. Reporting to the Supply Manager, you will allocate contributors according to project demand, maintain accurate workforce and capacity data, coordinate resource movements, and work closely with Project, Training, and Onboarding Leads. The ideal candidate has experience in operations coordination, workforce management, or resource planning, with strong spreadsheet skills, attention to detail, and the ability to make data-driven decisions in a fast-paced, shift-based environment. Key Responsibilities Allocate and reassign contributors across projects based on changing demand, capacity, and operational priorities. Coordinate access permissions, training requirements, and instructions associated with resource movements. Maintain accurate and up-to-date records of contributor deployment, status, performance, and availability. Monitor project capacity, throughput, onboarding, and offboarding to support effective workforce utilization. Identify capacity shortages, resource conflicts, and data inconsistencies, escalating risks to the appropriate stakeholders. Track resource requests from initial submission through allocation and completion. Coordinate with Project, Training, Onboarding, and Supply teams to ensure smooth resource deployment. Conduct clear shift handoffs, documenting outstanding requests, pending actions, and operational risks. Recommend improvements to resource planning processes, tracking systems, and workforce management workflows. Support timely, accurate decision-making in a dynamic environment with competing operational priorities. Requirements Professional experience in operations coordination, workforce management, resource planning, or a similar role. Strong spreadsheet skills and experience maintaining structured datasets, tracking records, and managing operational information. Excellent organizational skills and attention to detail. Ability to analyze capacity and resource data to make accurate, data-driven decisions under pressure. Strong communication and stakeholder-management skills. Ability to track multiple requests, deadlines, and dependencies simultaneously. Comfortable working in a fast-paced, shift-based environment and completing clear handoffs between teams. Availability to work the specified schedule for the full 16-week project.

Location: Netherlands; Germany; Sweden; Switzerland; New Zealand; Spain About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Subject Matter Experts (SMEs)in psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether sufficient context was gathered before recommendations were made, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical skills, and the ability to distinguish information that could materially change a recommendation from details that are less relevant. Key Responsibilities Review AI conversations involving real-world interpersonal situations and everyday decision-making. Identify missing context and recommend relevant follow-up questions that could improve the quality of AI responses. Evaluate whether gathering additional information would materially change an AI-generated recommendation. Distinguish between load-bearing information that affects a decision and non-essential or merely descriptive details. Conduct qualitative reviews and document findings using structured evaluation guidelines. Assess whether conversations adequately consider relevant personal, psychological, social, financial, practical, and organizational factors. Identify missed opportunities for clarification, deeper understanding, and information gathering. Review conversations involving relationships, work, education, family, wellbeing, planning, and resource constraints. Collaborate with research teams to ensure consistent, evidence-based assessments. Maintain high standards of accuracy, clarity, and consistency while meeting project deadlines. Requirements Candidates must have at least 3–5 years of relevant direct professional experience in one or more of the following domains: 1. Licensed Social Work Master's degree in Social Work (MSW) or an equivalent graduate-level qualification. LCSW, LICSW, LMSW, or an equivalent applicable social work license or credential. Experience in client assessment, case review, interviewing, counseling, or related social-work practice. 2. Counseling, Therapy, or Psychology Master's degree in a relevant discipline with an LMFT, LPC, LCPC, or equivalent counseling or therapy license or credential; or PhD or PsyD in Clinical, Counseling, Social, or Industrial-Organizational Psychology. Relevant experience in counseling, therapy, psychological assessment, interviewing, case review, or other client-facing professional work. 3. Qualitative Research, HCI, or Communication MA, PhD, or equivalent advanced expertise in Human-Computer Interaction, Communication, Anthropology, Sociology, Qualitative Research, or a closely related discipline. Experience conducting qualitative research, interviews, user research, conversation analysis, thematic analysis, or qualitative coding. Ability to analyze conversations systematically and identify missing context, communication patterns, and opportunities for clarification. 4. Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields Relevant professional qualification, credential, or demonstrated subject-matter expertise. At least 5 years of direct advisory or client-facing experience for candidates qualifying through this pathway. Experience in coaching, mediation, student advising, organizational consulting, or comparable professional work. Demonstrated ability to gather context, understand individual or organizational needs, and provide informed recommendations.

Location: United States; Saudi Arabia; Canada; United Kingdom; Australia; Ireland About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Subject Matter Experts (SMEs)in psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether sufficient context was gathered before recommendations were made, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical skills, and the ability to distinguish information that could materially change a recommendation from details that are less relevant. Key Responsibilities Review AI conversations involving real-world interpersonal situations and everyday decision-making. Identify missing context and recommend relevant follow-up questions that could improve the quality of AI responses. Evaluate whether gathering additional information would materially change an AI-generated recommendation. Distinguish between load-bearing information that affects a decision and non-essential or merely descriptive details. Conduct qualitative reviews and document findings using structured evaluation guidelines. Assess whether conversations adequately consider relevant personal, psychological, social, financial, practical, and organizational factors. Identify missed opportunities for clarification, deeper understanding, and information gathering. Review conversations involving relationships, work, education, family, wellbeing, planning, and resource constraints. Collaborate with research teams to ensure consistent, evidence-based assessments. Maintain high standards of accuracy, clarity, and consistency while meeting project deadlines. Requirements Candidates must have at least 3–5 years of relevant direct professional experience in one or more of the following domains: 1. Licensed Social Work Master's degree in Social Work (MSW) or an equivalent graduate-level qualification. LCSW, LICSW, LMSW, or an equivalent applicable social work license or credential. Experience in client assessment, case review, interviewing, counseling, or related social-work practice. 2. Counseling, Therapy, or Psychology Master's degree in a relevant discipline with an LMFT, LPC, LCPC, or equivalent counseling or therapy license or credential; or PhD or PsyD in Clinical, Counseling, Social, or Industrial-Organizational Psychology. Relevant experience in counseling, therapy, psychological assessment, interviewing, case review, or other client-facing professional work. 3. Qualitative Research, HCI, or Communication MA, PhD, or equivalent advanced expertise in Human-Computer Interaction, Communication, Anthropology, Sociology, Qualitative Research, or a closely related discipline. Experience conducting qualitative research, interviews, user research, conversation analysis, thematic analysis, or qualitative coding. Ability to analyze conversations systematically and identify missing context, communication patterns, and opportunities for clarification. 4. Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields Relevant professional qualification, credential, or demonstrated subject-matter expertise. At least 5 years of direct advisory or client-facing experience for candidates qualifying through this pathway. Experience in coaching, mediation, student advising, organizational consulting, or comparable professional work. Demonstrated ability to gather context, understand individual or organizational needs, and provide informed recommendations.

Location: Serbia; Croatia; Greece; Malaysia; Morocco; South Africa About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Subject Matter Experts (SMEs) from psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether the AI gathered sufficient context before making recommendations, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical and interviewing skills, and the ability to distinguish essential, decision-changing information from details that are less relevant to a recommendation. Key Responsibilities Review AI conversations involving interpersonal relationships, workplace situations, education, family matters, everyday planning, wellbeing, and other real-world decisions. Evaluate whether the AI gathered sufficient context before providing advice, recommendations, or proposed solutions. Identify missing information and suggest relevant follow-up questions that could improve the quality of the AI's response. Assess whether additional context would materially change the recommendation or decision. Distinguish between load-bearing information that could change the outcome and non-essential or merely descriptive details. Conduct qualitative reviews using structured evaluation guidelines and document findings consistently. Identify missed opportunities for clarification, contextual understanding, and information gathering. Consider relevant personal, psychological, social, financial, practical, and organizational factors when evaluating conversations. Collaborate with research teams to maintain consistent evaluation standards and high-quality assessments. Complete assigned tasks accurately within the required project timelines. Requirements Candidates must have at least 3–5 years of direct professional experience in one or more of the following domains. 1. Licensed Social Work Master's degree in Social Work (MSW) or an equivalent graduate-level qualification. LCSW, LICSW, LMSW, or an equivalent applicable social work credential or license. Experience in client assessment, case review, interviewing, counseling, or related social-work practice. 2. Counseling, Therapy, or Psychology Master's degree in a relevant discipline with an LMFT, LPC, LCPC, or equivalent counseling or therapy credential; or PhD or PsyD in Clinical, Counseling, Social, or Industrial-Organizational Psychology. Relevant experience in counseling, therapy, psychological assessment, interviewing, case review, or other client-facing professional work. 3. Qualitative Research, HCI, or Communication MA, PhD, or equivalent advanced expertise in Human-Computer Interaction, Communication, Anthropology, Sociology, Qualitative Research, or a closely related discipline. Experience conducting qualitative research, interviews, user research, conversation analysis, thematic analysis, qualitative coding, or similar research activities. Ability to analyze conversations systematically and identify missing context or patterns in human communication. 4. Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields Relevant professional qualification, credential, or demonstrated subject-matter expertise. At least 5 years of direct advisory or client-facing experience for candidates qualifying through this pathway. Experience in coaching, mediation, student advising, organizational consulting, or comparable professional work. Demonstrated ability to gather context, understand individual or organizational needs, and provide informed recommendations.

Location: Brazil; Mexico; Argentina; Colombia; Poland; Romania About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Subject Matter Experts (SMEs) from psychology, social work, counseling, qualitative research, human-computer interaction (HCI), communication, conflict resolution, coaching, and related advisory fields to support AI conversation evaluation research. You will review conversations between people and AI models, assess whether the AI gathered sufficient context before making recommendations, identify missed opportunities for clarification, and provide structured feedback to improve conversational quality. The ideal candidate has at least 3–5 years of relevant professional experience, strong analytical and interviewing skills, and the ability to distinguish essential, decision-changing information from details that are less relevant to a recommendation. Key Responsibilities Review AI conversations involving interpersonal relationships, workplace situations, education, family matters, everyday planning, wellbeing, and other real-world decisions. Evaluate whether the AI gathered sufficient context before providing advice, recommendations, or proposed solutions. Identify missing information and suggest relevant follow-up questions that could improve the quality of the AI's response. Assess whether additional context would materially change the recommendation or decision. Distinguish between load-bearing information that could change the outcome and non-essential or merely descriptive details. Conduct qualitative reviews using structured evaluation guidelines and document findings consistently. Identify missed opportunities for clarification, contextual understanding, and information gathering. Consider relevant personal, psychological, social, financial, practical, and organizational factors when evaluating conversations. Collaborate with research teams to maintain consistent evaluation standards and high-quality assessments. Complete assigned tasks accurately within the required project timelines. Requirements Candidates must have at least 3–5 years of direct professional experience in one or more of the following domains. 1. Licensed Social Work Master's degree in Social Work (MSW) or an equivalent graduate-level qualification. LCSW, LICSW, LMSW, or an equivalent applicable social work credential or license. Experience in client assessment, case review, interviewing, counseling, or related social-work practice. 2. Counseling, Therapy, or Psychology Master's degree in a relevant discipline with an LMFT, LPC, LCPC, or equivalent counseling or therapy credential; or PhD or PsyD in Clinical, Counseling, Social, or Industrial-Organizational Psychology. Relevant experience in counseling, therapy, psychological assessment, interviewing, case review, or other client-facing professional work. 3. Qualitative Research, HCI, or Communication MA, PhD, or equivalent advanced expertise in Human-Computer Interaction, Communication, Anthropology, Sociology, Qualitative Research, or a closely related discipline. Experience conducting qualitative research, interviews, user research, conversation analysis, thematic analysis, qualitative coding, or similar research activities. Ability to analyze conversations systematically and identify missing context or patterns in human communication. 4. Mediation, Coaching, Student Services, Organizational Consulting, or Related Advisory Fields Relevant professional qualification, credential, or demonstrated subject-matter expertise. At least 5 years of direct advisory or client-facing experience for candidates qualifying through this pathway. Experience in coaching, mediation, student advising, organizational consulting, or comparable professional work. Demonstrated ability to gather context, understand individual or organizational needs, and provide informed recommendations.

Location: India; Brazil; Colombia About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced AI Annotation Team Lead to oversee annotation teams responsible for producing accurate, high-quality AI training data. In this role, you will manage daily workflows, guide annotators and Pod Leads, monitor productivity and quality metrics, and ensure timely delivery under tight deadlines, often within 24-hour turnaround windows. The ideal candidate has proven team leadership experience, strong operational and communication skills, and the ability to translate complex client guidelines into clear instructions while maintaining consistent quality and performance. Key Responsibilities Manage annotation batches from project launch through final delivery, ensuring deadlines and quality standards are met. Review client guidelines and translate them into clear, actionable instructions for annotators and Pod Leads. Lead and coordinate annotation teams, establish daily production targets, and maintain appropriate staffing and workload distribution. Monitor productivity, quality, turnaround times, and other operational performance metrics. Conduct coaching, retraining, and remediation to address performance gaps and recurring quality issues. Partner with QA and tooling teams to identify bottlenecks and improve annotation workflows and processes. Identify high-performing team members and support their development toward future leadership responsibilities. Track project progress, identify operational risks and blockers, and communicate updates to the Project Lead. Maintain consistent annotation quality and operational efficiency in a fast-paced environment with tight deadlines. Requirements 4–6 years of overall professional experience, including at least 2 years in a team leadership or supervisory role. Proven experience managing teams against productivity, quality, and delivery targets. Strong organizational, communication, problem-solving, and decision-making skills. Ability to interpret complex guidelines and convert them into clear instructions and workflows. Experience managing competing priorities, staffing needs, and time-sensitive deliverables. Strong attention to detail and commitment to maintaining high-quality output. Availability to work the specified schedule for the full 16-week project.

Location: Colombia; India; Brazil About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a detail-oriented QA Review Team Lead to oversee quality assurance activities for AI training data and ensure annotated outputs are accurate, consistent, and delivered on time. In this role, you will lead QA reviewers, manage audit and review queues, assess annotation quality, identify recurring errors, and provide clear, actionable feedback to improve team performance. You will also train new reviewers, clarify guidelines for annotators, and escalate complex or recurring issues to the Senior QA Lead. The ideal candidate combines strong quality assurance skills with experience mentoring team members and applying detailed guidelines in a fast-paced environment. CONTRACT: Contractor assignment, 16 weeks COMMITMENT: Hourly, up to 40h/week LOCATIONS: Remote - Brazil, Colombia, India Key Responsibilities Lead QA reviewers and manage audit and review queues to ensure timely and accurate completion of assigned work. Spot-check annotated data and reviewer decisions to verify compliance with project guidelines and quality standards. Provide clear, actionable, and consistent feedback to reviewers and annotators. Conduct office hours and clarify annotation guidelines, review criteria, and quality expectations. Monitor quality scores, error trends, audit results, and reviewer performance. Train and onboard new reviewers on project guidelines, tools, and review procedures. Identify recurring errors, inconsistencies, and process gaps, and recommend corrective actions. Escalate persistent quality issues, unclear guidelines, and complex cases to the Senior QA Lead. Support continuous improvement of review processes and maintain consistent quality across the team. Requirements 3–5 years of overall professional experience, including at least 1 year of experience leading, mentoring, or supervising reviewers or team members. Strong attention to detail and the ability to apply complex guidelines consistently. Excellent written and verbal communication skills. Ability to provide constructive, actionable feedback and explain quality expectations clearly. Strong organizational skills and the ability to manage multiple review queues and competing deadlines. Ability to identify patterns in errors and support corrective actions. Availability to work the specified schedule for the full 16-week project.

Location: South Africa; Jamaica; Ethiopia; Pakistan; Philippines; Colombia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Job Type: Part-time (24 hours/week) Location: Remote Working Hours: Eastern Time (US/Canada) About the Company Our client is an innovative AI solutions company helping municipalities and government organizations modernize their operations through intelligent technology. Their solutions include AI-powered citizen engagement chatbots, internal automation tools, and permit validation systems designed to improve public service delivery and operational efficiency. As the company expands across the US and Canadian markets, they're looking for an experienced Sales Development Representative (SDR) to drive new business opportunities and build relationships with public-sector decision-makers. Job Summary We are seeking a highly autonomous, results-driven Sales Development Representative (SDR) with proven experience selling to government organizations, municipalities, or public-sector institutions. In this part-time remote sales role (24 hours per week), you'll take ownership of outbound prospecting, lead generation, appointment setting, and closing sales opportunities across North America. This is an excellent opportunity for an experienced SDR or business development professional who understands public-sector sales cycles, can independently build a qualified pipeline, and is comfortable working in a growing AI technology company. Key Responsibilities Lead Generation & Outbound Prospecting Identify and prospect municipalities, government agencies, and public-sector organizations across the US and Canada. Independently research and engage key decision-makers through cold email, cold calling, LinkedIn, and other outbound channels. Develop targeted prospect lists and maintain a consistent pipeline of qualified opportunities. Identify potential use cases for AI-powered solutions within government organizations. Appointment Setting & Sales Closing Book qualified meetings and product demonstrations with relevant decision-makers. Conduct discovery conversations to understand organizational challenges and technology needs. Communicate the value of AI solutions to public-sector stakeholders. Manage sales opportunities from initial outreach through appointment setting and deal closing. Build relationships with prospects and navigate longer, consultative public-sector sales cycles. CRM & Pipeline Management Use Zoho CRM to manage leads, track activities, and monitor sales opportunities. Maintain accurate prospect information, meeting notes, and follow-up schedules. Independently manage pipeline progression and prioritize high-value opportunities. Track performance against lead generation, meetings booked, and deals closed. Requirements Must have proven sales experience within public-sector or governmental organizations, including municipalities, government agencies, or similar institutions. Demonstrated experience in outbound sales, business development, or SDR roles. Proven ability to independently generate leads, book qualified appointments, and close sales. Hands-on experience using Zoho CRM for pipeline management and sales tracking. Strong understanding of B2B or B2G (business-to-government) sales processes. Excellent spoken and written English communication skills. Confident engaging senior stakeholders and government decision-makers. Highly organized, self-motivated, and comfortable working independently. Availability to work 24 hours per week, aligned with the client's Eastern Time zone. Reliable laptop, stable internet connection, and professional remote working setup. Nice-to-Have Qualifications Experience selling AI, SaaS, or other technology solutions. Existing knowledge of the US or Canadian municipal and government markets. Familiarity with public-sector procurement processes and government sales cycles. Experience selling digital transformation or automation solutions. Previous experience working in a startup or growth-stage technology company. Benefits 💰 Competitive compensation 🌎 100% remote opportunity 🤖 Work with innovative AI technology 🚀 High-impact role 🎯 Autonomy and ownership

Location: Dubai, United Arab Emirates About the Company We are a real estate developer delivering luxury branded residences across the UAE. Our portfolio includes villas and apartments with premium amenities such as beach clubs, golf courses and high-end finishes. Our upcoming pipeline consists of multi-billion-dirham projects, and we are looking for a Senior Cost Control Engineer to protect the financial performance of these developments from design through handover. The Role As Senior Cost Control Engineer, you will be the main source of reliable cost information on our projects. You will track, forecast and report project costs across a large, complex portfolio, and you will give senior leadership, including the CEO, clear, accurate and timely insight into project status, financial exposure and risks. This is a high-visibility position for someone who is comfortable presenting numbers with confidence and challenging assumptions when needed. Key Responsibilities Develop, manage and maintain project cost control systems, budgets and cost baselines for mega-scale developments Prepare monthly cost reports, cash flow forecasts and cost-to-complete projections Produce concise executive dashboards and status reports for the CEO and senior management, highlighting key risks, variances and decisions required Monitor committed costs, actual costs and forecast final cost against approved budgets Track and analyse variation orders, change requests and claims, and assess their impact on budget and programme Review contractor and consultant payment applications and reconcile them against contracts, progress and budget Work with the Quantity Surveying, Procurement, Design and Project Management teams to ensure cost alignment through all project stages Support value engineering exercises and cost-saving initiatives without compromising luxury quality standards Review tender evaluations, contract awards and buyout savings Carry out cost benchmarking and trend analysis across projects Identify cost risks early and recommend mitigation strategies Maintain a full audit trail of cost data, assumptions and approvals Improve cost control processes, tools and reporting standards across the organisation Requirements Education and experience Bachelor’s degree in Civil Engineering, Quantity Surveying, Construction Management or a related field Minimum 5 years of cost control experience with large construction or development companies in the UAE Proven experience on mega projects (multi-billion value) is essential Experience on luxury residential developments (villas, apartments, branded residences) with high-end finishes Exposure to complex amenities such as beach clubs, golf courses, hospitality or large-scale infrastructure is strongly preferred Demonstrated experience preparing reports for, and presenting directly to, C-level executives Professional certification such as PMP, CCP/CCT (AACE), RICS or MRICS Experience with master-planned communities and phased developments Technical skills Strong knowledge of cost control methodologies, forecasting and earned value management Solid understanding of UAE construction contracts (FIDIC) and variation and claims processes Advanced Excel skills and experience with dashboards and data visualisation (Power BI preferred) Proficiency in cost management and planning tools such as Primavera P6, Oracle, SAP or equivalent Strong analytical ability with high attention to detail Soft skills Excellent written and verbal communication, with the ability to turn complex data into clear insights Confidence, credibility and integrity when engaging with senior leadership Strong organisational skills and the ability to manage multiple projects under pressure Proactive, ownership-driven mindset Benefits The opportunity to work on landmark, multi-billion luxury developments Direct exposure to executive leadership A competitive salary and benefits package A dynamic, growing organization with strong career progression

Location: US: Illinois Remote Worker Workplace: Remote The role & it's impact: As a Senior Account Executive, you will be a strategic partner for large and mid-tier accounting practices, helping them navigate their digital transformation. Your primary focus is to drive net new business as you develop and execute digital strategies that enable these partners to successfully migrate their clients onto the Xero platform, driving growth for their business and ours. This is a high-impact, field-based position across Illinois where you will own your territory and build deep, lasting relationships with accounting partners. The team & how they connect: You will join a goal-motivated sales team of eight that thrives on achieving collective success and delivering measurable outcomes. You will work closely with Senior Account Executive colleagues and Partner Consulting to ensure a unified approach to territory management and expansion. Initially you will focus on: - Developing formal engagement plans and project strategies to support partner migrations. - Driving sustainable adoption and revenue growth across your territory of accounting and bookkeeping partners - Managing a consistent cycle of appointments and meetings within your allocated territory to drive and deepen an online strategy - Recruiting, educating, and growing your partner base by delivering events and certification training - Using Salesforce to maintain accurate data and ensure excellence in forecasting and territory management Where and how you can work: This is a field-based role in Illinois that offers the freedom to work autonomously while managing your specific territory. You should expect regular travel for client visits, including driving throughout Illinois for face-to-face meetings. We embrace hybrid working, providing beautiful office spaces for collaboration alongside the flexibility to manage your own schedule and boost days. Here are some of the things we are looking for: - You bring a results-driven approach and a genuine enthusiasm for building strong, rapport-based relationships with accounting partners. - Your background includes proven success in field account management and a track record of meeting and exceeding sales targets - You possess an interest in the fintech market and the ability to educate others on digital resources and online accounting - You will have the initiative to work independently while staying process-oriented and detail-focused - Your communication and presentation skills allow you to deliver engaging events and influence digital strategy at a practice level - You have experience using CRM tools, such as Salesforce, to manage client communications and sales cycles Compensation: At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: - California, New York and Washington: $110,000 - $120,000 - All other US States: $106,200 - $115,200 Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role.In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ page. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Shape the engineering foundations of Mistral AI’s next generation of compute capacity while improving the resilience of the infrastructure already in service. This role combines technical design leadership with field reliability engineering: you will establish demanding, practical requirements for colocation power and cooling, scrutinize proposed solutions and turn operating experience into better designs, safer changes and more reliable AI capacity. Operating context & accountability Mistral deploys high-density AI infrastructure in colocation facilities, where partners operate the underlying critical plant. You will be Mistral’s technical counterpart to providers, designers, commissioning specialists and internal IT and capacity teams. The position combines forward-looking design authority with hands-on technical investigation and portfolio reliability improvement. It requires depth in one core engineering discipline and the judgment to lead multidisciplinary decisions with specialist support. Key responsibilities — design and technical standards - Own and continuously improve Mistral’s technical design criteria and colocation requirements for new facilities, expansions and retrofits, including availability objectives, failure domains, maintainability and operational flexibility. - Translate GPU platform roadmaps into measurable facility envelopes: IT load and transients, rack density, electrical topology, redundancy, cooling capacity, supply/return temperatures, flow, pressure, water quality and monitoring. - Review utility and MV/LV arrangements, transformers, generators, UPS, switchgear, busway, protection coordination, earthing, power quality and metering for suitability under demanding AI loads. - Review mechanical and controls architecture, including chilled-water and heat-rejection systems, pumps, control sequences, CDU integration, leak detection, filtration, water treatment and cooling recovery scenarios. - Lead multidisciplinary reviews of single-line diagrams, P&IDs, sequences of operation, design calculations, capacity models, failure-mode studies and proposed deviations; document risks and decisions. - Participate in site selection, technical due diligence, provider RFPs, design milestones and commercial technical schedules, challenging assumptions before they become delivery constraints. - Define design review and exception processes that balance performance, resilience, deployment speed, efficiency, capital cost and long-term operability. Key responsibilities — commissioning and delivery assurance - Partner with delivery and commissioning teams to define functional and integrated testing requirements, acceptance criteria, evidence packages and outstanding-defect management. - Validate that electrical and cooling infrastructure can support the contracted AI load envelope under normal, maintenance and credible fault conditions. - Review test scripts and results for loss of utility, UPS/generator transitions, cooling component failures, controls faults, CDU interface events and staged restoration where applicable. - Ensure operational handover includes accurate drawings, asset and interface registers, monitoring points, setpoints, maintenance constraints, emergency procedures and unresolved risk ownership. - Support live-site changes and capacity upgrades with a disciplined review of impact, sequencing, rollback plans and operational readiness. Key responsibilities — field reliability and root-cause analysis - Act as a technical escalation point for recurring or high-impact electrical, mechanical and controls incidents across operational colocation sites. - Analyze alarms, BMS/EPMS trends, event sequences, power-quality records, cooling telemetry, commissioning findings and maintenance evidence to distinguish symptoms from systemic causes. - Lead or challenge technical root-cause investigations with colocation partners, including common-mode failures, protection miscoordination, thermal instability, control logic, hydraulic performance and hidden capacity limitations. - Develop risk-ranked corrective actions and reliability improvement programs; validate effectiveness through evidence and post-change monitoring. - Identify fleet-wide patterns and feed lessons learned into reference designs, acceptance tests, technical specifications and provider governance. - Review maintenance and change proposals that create material exposure to compute availability, providing clear technical recommendations and escalation where required. Key responsibilities — collaboration and leadership - Work with IT hardware, network and platform teams to understand the operational consequences of rack-level and cluster-level failure domains. - Influence colocation providers, consultants and OEM partners through technically rigorous, fact-based reviews without relying on direct operational authority. - Present design trade-offs, reliability risks and investment recommendations in language accessible to engineering leadership and business stakeholders. - Develop reusable standards, technical playbooks and engineering knowledge sharing to support consistent decisions across a rapidly expanding portfolio. What success looks like - New capacity is accepted against well-defined electrical, thermal and resilience criteria with transparent technical exceptions. - Design risks are identified early, reducing late changes, stranded capacity and avoidable operational constraints. - Repeat incidents and unresolved critical engineering defects decrease as corrective actions are verified. - Field experience produces measurable improvements to future designs and live-site operating resilience. Minimum qualifications - At least 8 years in mission-critical data center design, engineering, commissioning or technical reliability, including responsibility for complex technical decisions. - Degree in electrical or mechanical engineering, or equivalent professional experience, with deep knowledge in one discipline and strong working knowledge of the other. - Demonstrated expertise in critical power and cooling architecture, redundancy, failure-mode analysis and operational risk management. - Experience reviewing engineering drawings, calculations, commissioning evidence and root-cause analyses, and coordinating technical specialists. - Ability to influence colocation providers and cross-functional stakeholders; excellent English communication and willingness to travel. Preferred qualifications - Experience with AI/HPC infrastructure, high-density accelerator platforms and direct-to-chip liquid cooling. - Knowledge of CDUs, facility-to-technology cooling interfaces, hydraulic performance, cooling-water quality and leak management. - Experience with electrical protection/selectivity, power quality, controls sequences, integrated systems testing and BMS/EPMS analytics. - Experience creating technical standards across multiple sites or providers, including design deviations and fleet-wide reliability improvements. - Professional engineering registration or equivalent technical credentials. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

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 Anthropic's go-to-market organization is growing quickly, and our most important priorities for customers and for our field rarely sit within one team. Priorities cut across Sales, Marketing, Customer Success, Product, Revenue Operations, Enablement, Finance, Legal, Partnerships and more. We're looking for a strategic program manager to own these initiatives end to end. You'll start with an ambiguous ask, sometimes from a senior leader and sometimes from a signal in the data. You'll find the root cause of the problem and design a solution with subject-matter experts across the company, then drive it from strategy to planning to results to iteration. You’ll bring stakeholders along while still moving quickly to the right answer. The work ranges from large cross-functional programs to short, focused SWAT efforts on urgent questions. Success looks like making better decisions, faster, for our customers and our field. This is a strategic, highly cross-functional individual contributor role for someone equally comfortable building a business case, running a forum with senior stakeholders, getting into the data, and working directly with the field. You'll operate with high autonomy on the most critical GTM questions we face. Key responsibilities Own a portfolio of strategic GTM programs end to end, each starting from a business problem (e.g., customer activation, seller efficiency, model launches) and running from scoping through launch, operationalization, results, and iteration Act as a thought partner to Sales and GTM leaders: identify, scope, and prioritize the programs most worth doing, and say no to the rest Turn ambiguous, loosely scoped problems into structured analysis, a defensible model, and a clear plan with owners, milestones, and decision points Align and drive teams across Sales, Marketing, Customer Success, Product, Revenue Operations, Enablement, Finance, Legal, and Partnerships without formal authority over any of them Engage senior executives on the status and outcomes of the most critical programs Manage change so new programs are adopted by the field, and define and report on success metrics such as adoption, time-to-value, and productivity impact Use AI tools every day to analyze, model, and build faster Create the templates, cadence, and reporting that help every future program launch well Minimum qualifications Have led complex cross-functional programs from problem definition through delivery, in strategy consulting, strategy and operations, GTM or sales programs, or program management A track record of turning ambiguous problems into clear, defensible recommendations Have driven initiatives to completion across teams you do not manage, including when senior stakeholders disagreed Analytical skills: building a business case and quantitative model, defining targets, and pulling and analyzing your own data from CRM and BI tools Clear written and verbal communication, with experience presenting analysis and recommendations to senior and executive audiences A working understanding of how an enterprise sales organization operates Have built programs or processes where none existed, and owned the outcome through to results Are motivated by Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications A background in strategy consulting followed by an in-house role where you built and ran programs and strategic projects Experience running sales or GTM programs with measured results, such as pipeline, activation, adoption, or launch programs Experience working within a sales operating cadence, such as forecast calls and pipeline reviews, Sales planning, product launches Hands-on experience using AI tools daily to work faster and more rigorously, including building workflows with Claude or similar tools Experience at a company selling technical or AI products Experience as an early hire in a new team or function 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: $270,000 — $310,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 Anthropic’s mission is to ensure that the world safely makes the transition through transformative AI. Security is one of the clearest places where that mission plays out: the same capabilities that help attackers move faster can help defenders move faster too, and helping them use those capabilities safely and well is what this team is for. Security teams are among the earliest and most demanding users of frontier AI. They use Claude to review code at scale, find vulnerabilities before attackers do, and work through alert queues their analysts can’t keep up with. Anthropic’s Applied AI organization is building a dedicated Security team to help them do this well, and we are looking for its first leader. You will build this team from zero. You’ll decide which security customers the team serves first, who you hire and in what order, and how the team works with Sales, Applied AI Engineering, and our security, legal, and trust partners. You’ll also stay hands-on with a few of our most important security customers, because what you learn in those accounts becomes the playbook for everyone else. You’ll also set the standard for how security customers use Claude responsibly, including where a person has to review the output before anyone acts on it. What you’ll do Hire, onboard, and develop the first Applied AI Architects on the Security team. Coach senior and early-career architects differently, and give each one clear goals. Decide where the team spends its time: which segments and account types come first, which deals get architect coverage, and how to say no clearly when demand outruns headcount. Partner with security account executives on joint account plans, regular pipeline and forecast reviews, and deals where the customer’s security review sets the close date. Guide customers from discovery through evaluations and proofs of concept with written success criteria. Then take them from one-time code scans to sustained workloads: application security in the development lifecycle, continuous automated penetration testing, alert triage and investigation, and vulnerability and threat intelligence. Work alongside the security ISVs, systems integrators, and managed security providers already in our customers’ accounts. Keep a clear line between what Anthropic delivers and what partners deliver. Bring in Applied AI Engineers and our security, legal, and trust teams when a customer’s build or review needs them. Write the first security playbooks, reference implementations, and evaluation approaches. Bring what you learn back to Product, Engineering, and Research, so Claude becomes more useful and more trustworthy for defenders at the same time. Carry a small number of strategic security accounts yourself, from executive briefings with CISOs to hands-on workshops with their engineers. You may be a good fit if you Have 12+ years of industry experience with at least 4 years  managing a team of customer-facing technical people, such as solutions architects, sales engineers, or security consultants, and can show how the team grew and performed under you. Have hands-on security depth in at least one area, such as application security, detection and response, offensive security, or vulnerability management, deep enough that practitioners trust your judgment . Application security experience highly preferred. Have used LLMs for real security work, such as code review, vulnerability discovery, triage, or investigation, and can say where they helped and where they failed. Have worked large enterprise security deals end to end, including customer security reviews, in close partnership with sales. Care about making AI both safe and useful for defenders, and can explain security risk and value to a CISO and to the engineers who will run the work, in terms each one cares about. 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: $1 — $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA 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 We are seeking a Strategic Finance Lead to provide finance leadership for our network infrastructure. In this role, you will be a key partner to our infrastructure teams, providing financial expertise and guidance to optimize our networking investments and drive strategic decision-making. In this role, you’ll develop deep expertise in the economics of networks, from the monthly cost of connectivity and colocation to the long-range planning of fiber and data center builds. You’ll build financial models that inform Anthropic’s investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment. Key responsibilities Finance lead for network capex and opex, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance Build and maintain detailed bottoms-up data-driven financial models for network infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling Develop expertise in connectivity, colocation, and equipment contracts, pricing structures, and cost drivers, and surface optimization opportunities Subject matter expert on Anthropic’s network buildout, source of truth and plan of record Support the implementation and management of financial planning and procurement tools, ensuring our models and processes scale with the organization Analyze the economics of build, lease, and service options for network capacity, including ROI across dimensions like term, route, and ownership, and distill into actionable framework for capacity planning and deployment Partner closely with network engineering teams to understand how capacity, lead times, and site readiness scale, and translate those technical dynamics into financial frameworks Minimum qualifications Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models Extraordinary problem-solving and critical thinking abilities to come up with new frameworks for assessing profitability and capital efficiency in a rapidly evolving industry Attention to detail and patience for getting to the source of truth on complex and interconnected underlying financial and legal frameworks Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences Proven track record of partnering with technical teams to drive financial optimization initiatives Excitement about working collaboratively in a fast-paced, dynamic environment and adapt well to change Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines Strong relationship building, business judgment, process management, and communication skills Are passionate about Anthropic's mission to build safe, transformative AI systems Are passionate about the effective integration of AI tools to streamline manual finance workflows Background in network, telecom, or large-scale computing infrastructure, including data centers, cloud service providers, etc Preferred qualifications 7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with telecom, datacenter, or network infrastructure experience 3+ years of experience specifically in network infrastructure financial management Experience working directly with major carriers, colocation providers, or hardware vendors MBA or other advanced degree in finance, economics, or business Expertise in connectivity, equipment, or lease economics, contract structures, and pricing models Experience with capital project or long-lead equipment economics Proficiency with financial modeling tools and languages (SQL, Python, Excel) Experience building a computer, homelab, or home network from scratch 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: $240,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.