Location: Niger
Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world.
At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded.
LEAP Program Description
Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries.
The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country.
About the Position
The National Malaria Control Program (NMCP) is responsible for the national coordination of malaria prevention, case management, and malaria supply chain activities in Niger.
In recent years, the national supply chain management system has undergone significant evolution, characterized by:
The progressive strengthening of quantification and supply planning mechanisms;
The increasing use of logistics data from DHIS2;
The progressive strengthening of the Quantification Analytics Tool (QAT) as the national reference tool for supply forecasting and planning;
The gradual transition to a national electronic Logistics Management Information System (eLMIS) based on Open mSupply;
The progressive development of a district-led last-mile distribution model;
The growing need for advanced analysis of logistics data to improve the continuous availability of commodities.
In this context, the NMCP seeks to sustainably strengthen its institutional capacities in the areas of:
Logistics data analysis;
Data validation and triangulation;
Supply forecasting and planning;
Supply chain performance management;
Stockout risk anticipation;
Use of digital logistics management tools;
Monitoring of warehousing and distribution performance;
Pharmaceutical waste management.
To support this transition, the NMCP wishes to benefit from technical support through the recruitment of a Technical Expert in Logistics Intelligence, forecasting, and Supply Chain Performance. The goal is to sustainably strengthen national capacities, not to create functional dependency on external expertise.
The Advisor will support the NMCP in carrying out life-saving humanitarian assistance (LHA) service delivery in full alignment with the new Presidential Executive Order (EO) directives.
Responsibilities
General Objective
Support the NMCP in strengthening its institutional capacities in logistics intelligence, quantification, data analysis, and supply chain performance management to sustainably improve the availability of malaria commodities.
Specific Objectives:
The Advisor shall contribute to:
Strengthening the strategic use of logistics data for decision-making.
Supporting the institutionalization of QAT as the national reference tool for supply forecasting and planning.
Developing mechanisms for validation, triangulation, and quality control of logistics data.
Strengthening the NMCP's capacity to develop early warning systems and stockout anticipation mechanisms.
Supporting the monitoring of warehousing and distribution performance carried out by National Office of Pharmaceutical Products and Chemicals (ONPPC).
Developing supply chain performance dashboards and indicators.
Supporting the NMCP in monitoring pharmaceutical waste management.
Sustainably strengthening the technical capacities of national teams through skills transfer and process formalization.
Nature and Principles of Position
The position is structured around:
Strengthening institutional capacities;
Transferring skills;
Developing sustainable tools and mechanisms;
Providing analytical and strategic support.
The position does not constitute a permanent organic function within the NMCP and is not intended to replace the statutory or hierarchical responsibilities of national staff.
The Advisor shall:
Not hold any hierarchical authority over NMCP staff;
Not replace NMCP human resources;
Not exercise the program's sovereign (regalian) functions;
Act within a framework of technical support, accompaniment, systems structuring, and skills transfer.
The Advisor will work closely with:
The NMCP's Supply and Stock Management (GAS) team;
The NMCP pharmacist;
The NMCP monitoring and evaluation teams;
The Directorate of Pharmacy, Medicine, and Traditional Medicine (DPH/MT);
ONPPC;
Technical and financial partners.
Main Responsibilities:
Logistics Data Governance and Analytical Intelligence
Support the NMCP in analyzing and leveraging logistics data from DHIS2 and eLMIS/Open mSupply as it is progressively deployed, as well as planning tools;
Develop cross-validation mechanisms for logistics data;
Support the identification and correction of data inconsistencies;
Develop Analytical Dashboards and Visualization Tools
Strengthen the NMCP's capacity to analyze consumption trends and stockout risks;
Develop early warning mechanisms;
Support the analysis of district emergency orders;
Develop logistics performance indicators.
The Advisor shall build on work already carried out regarding:
DHIS2 data completeness (and eLMIS data as it is progressively deployed);
The identification and correction of inconsistencies;
Monthly stockout monitoring;
Analysis of district performance in their capacity for regular monthly resupply of health facilities.
Quantification and Institutionalization of QAT
Support the NMCP in the advanced use of QAT (particularly as new features are rolled out);
Contribute to establishing QAT as the national reference tool for supply forecasts and plans;
Progressively reduce reliance on parallel Excel files;
Develop and formalize Standard Operating Procedures (SOPs) related to QAT use;
Support quantification exercises;
Strengthen the integration of logistics data into forecasting exercises;
Contribute to harmonizing tools used by partners.
Contribute to aligning the NMCP with the national vision of an integrated supply forecasting and planning system.
Warehousing and Distribution Performance
In collaboration with ONPPC and relevant structures, the Advisor shall:
Develop performance indicators for the warehousing and distribution of malaria control commodities to ensure their continued compliance;
Support the development of dashboards to monitor these performance indicators;
Analyze distribution timelines and service levels;
Monitor availability and logistics quality indicators;
Identify operational bottlenecks;
Propose corrective measures;
Support the monitoring of good inventory management and storage practices.
Logistics Risk Management
Develop a supply chain risk register;
Identify critical supply-related risks;
Support the development of mitigation plans;
Develop alert thresholds and escalation mechanisms;
Strengthen the NMCP's capacity to anticipate stockouts;
Contribute to the development of forward-looking analyses and contingency scenarios.
Pharmaceutical Waste Management
Support the NMCP in monitoring pharmaceutical waste management;
Develop tools for tracking expired or damaged products;
Contribute to monitoring activities related to incinerators funded by the Global Fund;
Support the documentation and traceability of product destruction activities
Develop SOPs and tracking tools related to Unusable Pharmaceutical Products (PPI).
Capacity Building and Skills Transfer
Provide technical coaching to NMCP teams (GAS and M&E for logistics data);
Develop SOPs, guides, and standardized tools;
Support the formalization of processes;
Organize skills transfer sessions;
Contribute to the progressive empowerment of national teams;
Document achievements and institutionalized mechanisms.
Expected Deliverables
Logistics data governance SOPs;
QAT usage SOPs;
A RACI matrix for the malaria control commodity supply chain;
Supply chain performance dashboards;
Early warning mechanisms;
Data validation and triangulation tools;
A supply chain risk register;
Pharmaceutical waste management monitoring tools;
Plans for evaluating and strengthening GAS competencies within the NMCP;
Monthly (bullet) and quarterly (narrative) activity reports.
Expected Results
Through this support, the NMCP aims to achieve:
A sustainable improvement in the quality of logistics data;
Improved capacity to anticipate stockouts;
The institutionalization of QAT as the sole source for logistics data management;
The development of a data-driven management culture;
Strengthened monitoring of supply chain performance;
Improved visibility of logistics risks;
The progressive strengthening of national technical autonomy;
A successful transition to a national eLMIS system based on Open mSupply.
Supervisory Arrangements
The Advisor shall be:
Administratively recruited and evaluated by the implementing partner;
Technically supervised by the NMCP Coordinator;
Functionally integrated into the Supply and Stock Management (GAS) team.
Technical priorities and work plans will be jointly validated by the NMCP and the implementing partner.
REPORTING
:
The Advisor will provide a detailed monthly report to the U.S. Department of State submitted by the 5th day of the following month. Additionally, the Advisor will submit a weekly progress report to U.S. Embassy/Department of State (and participate in weekly calls) to include a short paragraph about main successes for that week.
Qualifications
Advanced university degree in pharmacy, with experience in public health, supply chain management, health logistics, or a related field;
A complementary Master's-level degree in supply chain management, health logistics, public health, health systems, or a related field is strongly desired;
Specialized training in public health Supply Chain Management is a significant asset;
Minimum of 10 years of experience in public health supply chain management;
Proven experience in supply quantification and planning;
Demonstrated experience using QAT or similar forecasting and supply planning tools;
Experience in analyzing and leveraging logistics data;
Experience using DHIS2, eLMIS, or other logistics information systems;
Proven experience developing analytical tools, dashboards, and performance monitoring mechanisms;
Experience collaborating with U.S. Government–funded partners and projects strongly desired;
Experience on U.S. Government–funded projects is a major asset;
Experience in pharmaceutical waste management desired.
Excellent command of logistics management systems;
Strong analytical capacity;
Good command of data analysis and visualization tools;
Excellent understanding of quantification mechanisms;
Good understanding of early warning systems;
Ability to develop SOPs, standardized tools, and institutional mechanisms;
Ability to work within a matrix reporting environment;
Strong capacity for institutional collaboration;
High sense of ethics and confidentiality;
Ability to work in a support role rather than a substitutive one;
Ability to transfer skills and support national teams.
Benefits
Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for
full-time, US-based
positions only. These benefits include:
Medical and prescription drug coverage:
A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents.
Dental insurance:
Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits.
Company-paid vision insurance:
Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis.
Employer-funded health reimbursement arrangement (HRA):
Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses.
Company-paid life and disability insurance:
Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage.
Optional supplemental insurance:
Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents.
Employee Assistance Program (EAP):
Company-paid access to confidential counseling and legal and financial support resources for employees and their families.
Health and wellness resources:
Virtual care, behavioral health resources, and wellness programs available through the medical plan.
Benefits assistance:
Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center.
Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements.
Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you?
If you are passionate about this opportunity, apply now!
Only those applicants who meet the above criteria will be contacted for interview.
Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.
Location: Damascus, Syria
Toters is an on-demand e-commerce and delivery platform and operates a service that enables customers to get anything in their city at the highest level of convenience.
At Toters, technology is at the heart of everything we do. We have product teams that are working hard everyday to create products that make our customers' lives easier. Our engineers are also continuously creating solutions to make our processes more efficient, all in an effort to get to our customers fast and at the best cost. If you are interested in working in a high growth startup environment, and look to be part of a team that will potentially change the way customers shop in the Middle East, apply now
We are looking for an experienced individual with marketing experience that will generate continuous improvement and leanings on how to find and convert scalable sources of potential customers.
As a Marketing Executive at Toters, your objective is to drive week-over-week growth at one of the most promising start-ups in the Middle East. That’s it, the rest is up to you.
Responsibilities:
Define and execute the marketing and communication activities according to the set marketing plan
Monitor the performance of all marketing campaigns
Implement marketing and advertising campaigns by analyzing sales forecasts; preparing marketing and advertising strategies, plans, and objectives; planning and organizing promotional presentations; updating calendars
Prepare marketing reports by collecting, analyzing, and summarizing sales data
Prepare promotional materials by coordinating requirements with the Graphics department
Manage company social media accounts, including social media calendar
Manage and plan activations related to social media events and targets
Coordinate and plan events related to specific activities in coordination with the concerned team
Build relationships with influencers and bloggers, through an allocated budget
Prepare and manage a report of Bi Weekly social media Calendar
Prepare and manage a report of Weekly Marketing & Events Calendar
Come up with ongoing marketing and seasonal/event-related marketing activations and promotions
Execute photo & video shoots
Qualifications:
A. or M.S. in Business Administration, Marketing, or other disciplines with relevant work experience
Ability to thrive in a cross-functional environment while juggling multiple responsibilities
Strong verbal, written, and organizational skills
Strong attention to detail
Creativity, writing and design skills
Location: Indianapolis, United States; Ohio City, United States; Chicago, United States
Description
Location:
Indianapolis, IN Metro (Hybrid / 3-Day Onsite)
(Open to Regional/EST Candidates with Onsite Travel)
Contract Type:
Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7)
About Xenon7
Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth.
Role purpose
Lead the development and application of digital twins to improve clinical trial design and support evidence-based clinical development decisions. The role prioritizes digital-twin, simulation, and AI/ML expertise, supported by clinical-development experience and close partnership with trial-design experts.
Position overview
You will join a multidisciplinary clinical development environment and partner with clinical scientists, physicians, biostatisticians, pharmacometricians, biomarker experts, data scientists, data engineers, and other stakeholders. You will translate clinical development questions into quantitative strategies and deliver interpretable analyses that inform protocol design, patient selection, endpoint strategy, dosing, operational planning, and decision-making under uncertainty.
The role prioritizes digital twins as the primary capability for simulating patients, disease trajectories, treatment response, and clinical trials. The successful candidate will bring strong digital-twin, simulation, and AI/ML expertise, along with sufficient clinical-development knowledge to work effectively with trial teams. Deeper trial-design expertise can be developed through close collaboration with clinical scientists, biostatisticians, and pharmacometricians.
Key responsibilities
Digital-twin development and validation
· Lead the design, development, and evaluation of digital twins of patients, disease trajectories, treatment response, or clinical trials using clinical trial and relevant external data.
· Combine mechanistic, statistical, causal, and machine learning approaches to create fit-for-purpose digital twins that can be simulated under alternative populations, interventions, dosing strategies, endpoints, or trial designs.
· Define use cases and contexts of use with clinical and quantitative experts so each digital twin addresses a specific trial-design or development decision.
· Assess calibration, validation, robustness, transportability, uncertainty, and practical relevance using appropriate internal and external evaluation strategies.
· Develop reproducible workflows and reusable digital-twin components that can be applied across programs or therapeutic areas.
Clinical trial design and quantitative decision support
· Partner with trial teams to frame development questions and evaluate design options, including target populations, eligibility criteria, enrichment strategies, comparators, endpoints, visit schedules, dosing strategies, and operational tradeoffs.
· Use digital twins and complementary simulation methods to compare plausible scenarios, characterize uncertainty, and support model-informed decision-making.
· Work closely with statisticians and pharmacometricians so analyses complement established trial-design methods and align with clinical and regulatory objectives.
· Communicate assumptions, limitations, and decision-relevant insights clearly to technical and non-technical stakeholders.
Data integration and scientific collaboration
· Analyze and integrate clinical trial data and, where relevant, biomarkers, imaging, digital health data, omics, patient-reported outcomes, and real-world data.
· Partner with data engineering and platform teams to create analysis-ready datasets, data-quality checks, lineage, and reproducible pipelines.
· Contribute to scientific documentation, presentations, publications, and responsible adoption of digital-twin methods across clinical development.
Model quality and responsible use
· Define the intended use, decision context, success criteria, and limitations of each model before development.
· Ensure models are interpretable, auditable, reproducible, and supported by evidence appropriate to their intended use.
· Apply appropriate governance, privacy, security, and scientific-review requirements for clinical data and analytical outputs.
· Clearly distinguish exploratory analyses from validated decision-support evidence and avoid overclaiming model capability.
Requirements
· PhD in data science, statistics, biostatistics, pharmacometrics, computer science, biomedical informatics, engineering, mathematics, operations research, or a related quantitative field.
· Demonstrated experience developing digital twins, virtual patients, disease-progression models, clinical trial simulations, synthetic controls, or closely related computational models.
· Strong experience applying machine learning, statistical modeling, causal inference, or simulation to biomedical, healthcare, pharmaceutical, or other complex scientific data.
· Strong programming skills in Python, R, or a comparable analytical language, with experience using version-controlled and reproducible workflows.
· Sufficient clinical-development knowledge to frame relevant questions and collaborate effectively with clinical and quantitative trial experts.
· Ability and interest to deepen clinical trial-design knowledge through partnership with clinical scientists, biostatisticians, and pharmacometricians.
· Strong written and verbal communication skills and demonstrated effectiveness in cross-functional scientific collaboration.
Preferred qualifications
· Strongly preferred: experience supporting clinical trial design, protocol development, clinical development strategy, model-informed drug development, or regulatory-facing quantitative evidence.
· Familiarity with one or more trial-design topics, such as endpoint strategy, sample size or power assumptions, patient selection or enrichment, longitudinal outcomes, missing data, adaptive designs, or decision criteria.
· Knowledge of digital-twin architecture and validation, supported by expertise in causal inference, Bayesian modeling, survival analysis, longitudinal modeling, clinical trial simulation, or synthetic controls.
· Experience with clinical data standards and common clinical-development data sources.
· Experience with biomarker, imaging, omics, digital health, or real-world data and integration of multiple data modalities.
· Experience with scalable cloud-based analytical environments.
· Track record of translating analytical work into decisions, reusable capabilities, publications, presentations, or other measurable scientific impact.
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: Baku, Azerbaijan; Ganja, Azerbaijan; Sumqayit, Azerbaijan; Mingachevir, Azerbaijan; Khirdalan, Azerbaijan
Do you enjoy precise, detail-oriented work and have an eye for spatial accuracy? This role puts those skills to use on a project at the intersection of geospatial data and AI.
As a Data Annotator on our project, you will support building digital 3D models of power grids and other critical infrastructure. These models help energy companies analyze network conditions, predict risks, and plan maintenance using AI and physics-based simulations.
You will help reconstruct electrical distribution networks in 3D by combining LiDAR point cloud data, GIS maps, and drone imagery – contributing directly to the accuracy and reliability of these digital twins.
What you’ll be doing:
Reconstructing 3D power grid networks using point cloud (LiDAR) and map (GIS) data;
Placing 3D objects (poles, lines, conductors) to match real-world physical layouts;
Aligning original 2D map data with 3D models;
Labeling high-resolution drone photos to identify grid components and detect structural defects (e.g., equipment damage or wear).
Requirements:
Strong spatial reasoning and the ability to easily navigate 3D environments;
English B1 (ability to read instructions, watch training videos, and communicate with teammates);
High attention to detail, problem-solving skills, and a willingness to learn from feedback;
PC/laptop with an Intel i7-11800H (or equivalent/better CPU), dedicated GPU (NVIDIA T1200 or better; RTX 4060 recommended), and 16 GB RAM minimum (32 GB preferred).
Will be a plus:
Any basic understanding of power grids (poles, transformers, wires) or prior experience with LiDAR data;
Background in GIS, Geodesy, Cartography, Land Management, Civil Engineering, or a related field;
What we offer:
Full-time schedule (9 hours/day, including a 1-hour paid lunch break), with a fixed shift of either 09:00-18:00 or 14:00-23:00 EEST;
Fully remote work;
Supportive management with no bureaucracy;
Competitive compensation in USD;
Opportunities for long-term professional growth.
Who are we?
Data is the most vital resource for next-generation spatial engineering and AI applications.
Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative 3D digital twin project, and send us your CV in English highlighting your spatial and technical skills.
Visit our website:
https://labelyourdata.com/
*We celebrate diversity and are proud to be an equal opportunity employer.
Location: Kutaisi, Georgia; Batumi, Georgia; Rustavi, Georgia; Gori, Georgia; Poti, Georgia; Zugdidi, Georgia
Do you enjoy precise, detail-oriented work and have an eye for spatial accuracy? This role puts those skills to use on a project at the intersection of geospatial data and AI.
As a Data Annotator on our project, you will support building digital 3D models of power grids and other critical infrastructure. These models help energy companies analyze network conditions, predict risks, and plan maintenance using AI and physics-based simulations.
You will help reconstruct electrical distribution networks in 3D by combining LiDAR point cloud data, GIS maps, and drone imagery – contributing directly to the accuracy and reliability of these digital twins.
What you’ll be doing:
Reconstructing 3D power grid networks using point cloud (LiDAR) and map (GIS) data;
Placing 3D objects (poles, lines, conductors) to match real-world physical layouts;
Aligning original 2D map data with 3D models;
Labeling high-resolution drone photos to identify grid components and detect structural defects (e.g., equipment damage or wear).
Requirements:
Strong spatial reasoning and the ability to easily navigate 3D environments;
English B1 (ability to read instructions, watch training videos, and communicate with teammates);
High attention to detail, problem-solving skills, and a willingness to learn from feedback;
PC/laptop with an Intel i7-11800H (or equivalent/better CPU), dedicated GPU (NVIDIA T1200 or better; RTX 4060 recommended), and 16 GB RAM minimum (32 GB preferred).
Will be a plus:
Any basic understanding of power grids (poles, transformers, wires) or prior experience with LiDAR data;
Background in GIS, Geodesy, Cartography, Land Management, Civil Engineering, or a related field;
What we offer:
Full-time schedule (9 hours/day, including a 1-hour paid lunch break), with a fixed shift of either 09:00-18:00 or 14:00-23:00 EEST;
Fully remote work;
Supportive management with no bureaucracy;
Competitive compensation in USD;
Opportunities for long-term professional growth.
Who are we?
Data is the most vital resource for next-generation spatial engineering and AI applications.
Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative 3D digital twin project, and send us your CV in English highlighting your spatial and technical skills.
Visit our website:
https://labelyourdata.com/
*We celebrate diversity and are proud to be an equal opportunity employer.
Location: Gyumri, Armenia; Vanadzor, Armenia; Abovyan, Armenia; Kapan, Armenia; Armavir, Armenia
Do you enjoy precise, detail-oriented work and have an eye for spatial accuracy? This role puts those skills to use on a project at the intersection of geospatial data and AI.
As a Data Annotator on our project, you will support building digital 3D models of power grids and other critical infrastructure. These models help energy companies analyze network conditions, predict risks, and plan maintenance using AI and physics-based simulations.
You will help reconstruct electrical distribution networks in 3D by combining LiDAR point cloud data, GIS maps, and drone imagery – contributing directly to the accuracy and reliability of these digital twins.
What you’ll be doing:
Reconstructing 3D power grid networks using point cloud (LiDAR) and map (GIS) data;
Placing 3D objects (poles, lines, conductors) to match real-world physical layouts;
Aligning original 2D map data with 3D models;
Labeling high-resolution drone photos to identify grid components and detect structural defects (e.g., equipment damage or wear).
Requirements:
Strong spatial reasoning and the ability to easily navigate 3D environments;
English B1 (ability to read instructions, watch training videos, and communicate with teammates);
High attention to detail, problem-solving skills, and a willingness to learn from feedback;
PC/laptop with an Intel i7-11800H (or equivalent/better CPU), dedicated GPU (NVIDIA T1200 or better; RTX 4060 recommended), and 16 GB RAM minimum (32 GB preferred).
Will be a plus:
Any basic understanding of power grids (poles, transformers, wires) or prior experience with LiDAR data;
Background in GIS, Geodesy, Cartography, Land Management, Civil Engineering, or a related field;
What we offer:
Full-time schedule (9 hours/day, including a 1-hour paid lunch break), with a fixed shift of either 09:00-18:00 or 14:00-23:00 EEST;
Fully remote work;
Supportive management with no bureaucracy;
Competitive compensation in USD;
Opportunities for long-term professional growth.
Who are we?
Data is the most vital resource for next-generation spatial engineering and AI applications.
Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative 3D digital twin project, and send us your CV in English highlighting your spatial and technical skills.
Visit our website:
https://labelyourdata.com/
*We celebrate diversity and are proud to be an equal opportunity employer.
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: Los Angeles, CA or Remote
Workplace: onsite
Role Description
Spin.AI is looking for a highly analytical, hands-on Growth Marketing Lead to own the performance engine behind our inbound marketing strategy across Spin.AI’s portfolio: including Backup (Mission critical SaaS apps), Security (DLP and Browser), and Atlassian backup/ecosystem.
This person will connect organic, paid, social, web, retargeting, nurture, conversion, and performance measurement into a cohesive inbound growth engine. You'll partner closely with our Director of Marketing to take strong stories, campaigns, content, and creative and ensure they reach the right audiences, convert effectively, and contribute to a measurable pipeline.
You'll serve as the internal owner of growth performance, connecting marketing programs, external agencies and freelancers, our fractional Marketing Operations support, data, and funnel performance. You'll have significant ownership and autonomy in this role.
We're hiring you for your expertise, and we trust you to use it. We want you to challenge assumptions, bring forward ideas, tell us when you think there's a better way, and make decisions within your area of ownership. You won't have someone standing over you telling you how to do your job; you'll have the space and support to figure out what will drive results and execute against it.
What You'll Own:
Inbound Growth & Demand
Own performance across the inbound marketing funnel, from acquisition through qualified opportunity.
Understand how prospects discover, engage with, convert through, and progress across marketing channels.
Identify gaps, friction, and growth opportunities throughout the buyer journey.
Partner with the Director of Marketing to connect organic visibility to measurable business outcomes.
Develop a holistic view of inbound performance across all three brands.
Paid Acquisition & Performance Marketing
Own paid acquisition strategy across Google, LinkedIn, retargeting, paid social, and additional channels.
Manage and optimize paid marketing budgets.
Determine where investment should increase, decrease, or be tested based on performance.
Develop audience, offer, channel, and campaign testing strategies.
Evaluate performance based on qualified opportunities and pipeline—not simply impressions, clicks, or lead volume.
Manage paid media agencies, freelancers, and specialized partners.
Campaign Activation & Distribution
Partner closely with the Director of Marketing to turn integrated campaign strategies into measurable growth programs.
Develop distribution and amplification plans around major campaigns and content.
Determine appropriate audiences, channels, offers, conversion points, and follow-up strategies.
Ensure campaigns have clear paths from awareness and engagement to conversion.
Find opportunities to extend the reach, performance, and business value of existing content and creativity.
Conversion Rate Optimization
Own CRO across landing pages, forms, CTAs, campaign experiences, and key website conversion paths.
Partner with the Director of Marketing and creative resources on messaging and creative variations.
Build and maintain an ongoing testing roadmap and turn successful experiments into repeatable best practices.
Retargeting, Lifecycle & Lead Nurture
Develop strategies for continuing to engage prospects after their initial interaction.
Build retargeting audiences and programs across relevant channels.
Develop lifecycle segmentation and nurture strategies.
Partner with fractional Marketing Operations support on automation and technical implementation.
Improve progression from initial engagement to qualified opportunity.
AI-Native Marketing & Execution
Be AI-native in how you work, using AI as an everyday part of research, analysis, execution, experimentation, and decision-making – not simply as a writing assistant.
Use AI to analyze marketing and performance data, uncover trends and anomalies, synthesize insights, identify growth opportunities, and accelerate reporting.
Use AI to accelerate campaign development and experimentation, including audience research, messaging variations, landing-page testing, creative ideation, and performance analysis.
Build AI into repeatable workflows to automate manual work, connect information across tools, and increase the speed and quality of marketing execution.
Be comfortable working with leading AI platforms and AI-enabled productivity tools such as ChatGPT, Claude, Claude Cowork, and similar tools, while continuously evaluating new technologies as the ecosystem evolves.
Know how to work effectively with AI-generated analysis: asking the right questions, providing the right context and data, validating outputs, and applying human judgment before acting on recommendations.
Proactively identify opportunities where AI can make our marketing organization faster, smarter, more analytical, and more scalable.
Growth Experimentation
Maintain a prioritized growth experimentation roadmap.
Move quickly from hypothesis to execution
Scale what works and stop what doesn't.
Proactively bring new ideas, channels, technologies, and opportunities to the team rather than waiting for them to be assigned.
Performance Analytics & Attribution
Connect marketing activities to measurable business outcomes.
Understand performance across visitor → lead → qualified lead → opportunity → pipeline.
Establish KPIs for campaigns and acquisition programs.
Monitor acquisition costs, funnel conversion, opportunity creation, pipeline contribution, and campaign ROI.
Turn performance data into recommendations and actions, not simply dashboards.
Help leadership understand what's working, what's not, why, and what Marketing should do next.
Partnership With the Director of Marketing
This is designed to be a
close counterpart relationship between two distinct areas of marketing expertise.
The Director of Marketing owns the
market-facing strategy
: overall marketing strategy, integrated campaigns, narrative, brand, content, messaging, creative direction, organic strategy, customer storytelling, thought leadership, and market POV.
The Growth Marketing Lead owns the
performance engine
: acquisition, distribution, activation, conversion, retargeting, nurture, experimentation, optimization, and measurement.
You'll be involved early in campaign planning, not handed finished assets and asked to promote them. Your audience, channel, conversion, and performance insights should influence how campaigns are built from the beginning.
At the same time, the role maintains clear functional ownership. The Growth Marketing Lead does not replace ownership of overall marketing strategy, brand strategy, editorial strategy, company narrative, creative direction, or integrated marketing strategy.
Both roles remain deeply connected to GTM, pipeline, revenue, and business outcomes.
Together, they create the feedback loop between what the market needs to hear and what performance data tells us is resonating.
Fractional Marketing Operations Partnership
The Growth Marketing Lead will work closely with a
fractional/retained Marketing Operations resource
who can support the technical infrastructure required to run and measure the growth engine.
This may include CRM and marketing automation infrastructure, campaign tracking and attribution, lead scoring and routing, lifecycle automation, integrations, database health, dashboards, and reporting infrastructure.
You don't need to personally administer every system. You
do
need enough technical fluency to know what needs to be built, articulate the business requirements, recognize when something isn't working correctly, and use the resulting data to make informed decisions.
You will effectively serve as the
business owner of marketing performance
, with specialized Marketing Operations support helping i
What Success Looks Like:
Success will be measured through outcomes including:
Marketing-sourced pipeline
Qualified opportunities generated
Inbound conversion rates
Cost per qualified lead and opportunity
Lead-to-opportunity conversion
Paid acquisition efficiency
Landing-page and website conversion
Funnel velocity
Growth experiment performance
Improved visibility and confidence in marketing performance across the portfolio
Experience We're Looking For:
3–5+ years of B2B growth, demand generation, performance marketing, or related experience, ideally within cybersecurity, SaaS, or technology.
Demonstrated experience owning multi-channel inbound acquisition programs.
Hands-on understanding of Google Ads, LinkedIn Ads, retargeting, paid social, and performance marketing.
Strong understanding of SEO and organic acquisition, with experience connecting organic traffic to conversion and pipeline.
Experience with landing-page optimization, CRO, A/B testing, and structured experimentation.
Experience building retargeting, nurture, and lifecycle programs.
Strong understanding of B2B marketing funnels and progression from visitor through lead, opportunity, pipeline, and revenue.
Experience working with CRM, marketing automation, attribution, analytics, and reporting systems.
Demonstrated proficiency using AI in modern marketing workflows, including research, data analysis, reporting, campaign optimization, experimentation, automation, and productivity. You should be comfortable working across leading AI platforms and quickly learning new tools as they emerge.
Strong analytical skills and the ability to translate data into clear recommendations and actions.
Experience managing agencies, freelancers, vendors, and specialized external resources.
Experience collaborating closely with senior marketing leadership, Content/Creative, Sales, Product, and external Marketing Operations resources.
Comfortable balancing strategic thinking with hands-on execution.
Cybersecurity experience is valuable, but strong B2B SaaS experience combined with the ability and desire to learn a technical market quickly can also be successful.
How We Work:
You have a startup mindset.
You're a self-starter who doesn't need someone telling you what to do throughout the day. You can take a business objective, figure out what needs to happen, ask the right questions, and independently move the work forward. You're resourceful, curious, and a fast learner.
We trust your expertise.
There is real ownership in this role. We hire great people because we want their ideas, judgment, and experience – not because we want someone to simply execute instructions. If you think there's a better approach, we genuinely want to hear it. If the data is telling you we should change direction, say so. You'll be trusted to make decisions within your area, experiment thoughtfully, and do your job in the way you believe will produce the strongest results.
You're collaborative and dynamic.
You'll work closely with the Director of Marketing, broader marketing leadership, Sales, Product, external partners, and specialists across the organization. You know how to bring strong opinions and expertise to the table without creating territorial silos. You communicate well, welcome feedback, and value other people's expertise as much as your own.
You move fast.
We'd rather thoughtfully test a strong idea, learn from it, and iterate than spend months trying to make something theoretically perfect. You know how to prioritize, execute, measure, and move forward. If something doesn't work, understand why, learn from it, and try again.
You take ownership.
If something you're responsible for isn't working, you investigate it. If tracking looks wrong, you flag it. If an agency isn't delivering, you address it. If you see an opportunity, you bring it forward. "Nobody told me to" isn't how we operate.
You're a team player.
We care about the work we do and the people we do it with. You take pride in producing great work, celebrate team wins, help when someone needs it, and genuinely enjoy collaborating with smart people toward a shared goal.
You're adaptable.
Our products evolve. Technology advances. Messaging changes. Priorities change. AI is changing how people discover and consume information, and cybersecurity certainly doesn't stand still. You're comfortable operating in a fast-moving technical market and can learn quickly enough to keep pace.
You're AI-native.
AI is changing both the cybersecurity market we operate in and the way great marketing teams work. We expect you to use it. Whether you're analyzing campaign data, researching an audience, building a workflow, pressure-testing an idea, finding patterns, or eliminating repetitive work, your instinct should be to ask how AI can help you do the job better and faster. We're not looking for someone who occasionally opens an AI tool, we want someone who actively experiments with new capabilities and incorporates the best ones into how they work.
You're comfortable with cybersecurity.
You don't need to know every acronym on day one, but you should enjoy learning complex technology and understanding the problems our customers are trying to solve. You can become conversant enough in cybersecurity to make intelligent decisions about audiences, campaigns, messaging, and performance.
You care about outcomes more than activity.
Launching a campaign isn't the finish line. A beautiful dashboard isn't the outcome. More leads aren't necessarily better leads. You want to understand what actually moved the business and what we should do differently because of it.
And we genuinely enjoy working together!
Across Spin.AI, Revyz, and DoControl, we want people to be proud of what they build, without believing great work requires sacrificing everything outside of it. We respect work-life balance, trust people to manage their responsibilities, and value positive, healthy working relationships. We work hard, move quickly, and care deeply about results – but we also want people to enjoy the work they're doing and the life they're living while they do it. A positive attitude, mutual respect, and being someone others genuinely enjoy working with matter here.
What We Offer:
Unlimited PTO
Hybrid Office Model
Paid Holidays
Premium health, dental, vision, and life insurance, 100% covered by the company
401(k)
Employee Wellness Program
Why Spin.AI:
Inc. 5000 list for 2026! 🚀
Overall Ranking: #3,309
Industry Ranking: #107
Metro Ranking: #114
State Ranking: #463
Forbes Named Spin.AI One of America's Best Startup Employers
THREE
Years in a Row (2024- 2026)
Work in a fast-moving, high-impact cybersecurity company recognized by
Gartner, Forrester, and G2
.
Collaborative, transparent culture – your ideas and experiments matter.
Direct impact: your work translates into real business growth and visibility.
Growth opportunities and performance-based rewards.
Location: New York, United States
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
We are seeking a Market Surveillance Analyst to join our Compliance team. This role is focused on the day-to-day review and investigation of potential market abuse activity. You will use surveillance tools, trading data, and market research to assess alerts and produce timely, well-reasoned investigations supported by clear quantitative and qualitative evidence. The role requires understanding of markets, exchange products, and order-book dynamics, alongside sound judgment. You will work closely with Product, Engineering, Legal, Risk, Central Compliance, and local Compliance teams to support a robust and continuously improving surveillance framework. You will maintain complete, accurate, and audit-ready investigation records, while contributing to special projects and priority requests in a fast-paced global environment.
What You’ll Be Doing
Investigate potential market abuse activity, including wash trading, circular trading, price ramping, insider trading, spoofing, layering, and other related activities.
Review and analyze surveillance alerts using industry-leading tools and platforms.
Produce thorough, high-quality investigations supported by clear evidence and well-documented conclusions.
Use data, research, and analytical skills to conduct both quantitative and qualitative assessments.
Partner with Product, Engineering, Legal, Risk, Central Compliance, and local Compliance teams to strengthen and continuously improve the Surveillance function.
Maintain complete, accurate, and audit-ready documentation for alerts and investigations.
Support priority requests and special projects in a fast-paced, evolving environment.
What We Look For In You
BA/BS in a related technical field or equivalent practical experience.
2-3 years of experience in market surveillance, trade surveillance, or closely related field.
Familiarity with end-to-end market surveillance workflows.
Strong understanding of the digital-asset industry and products offered by digital-asset exchanges.
Knowledge of market structure and order-book dynamics.
Working knowledge of relevant regulatory and compliance requirements.
Strong integrity, sound professional judgment, and the ability to recognize when an issue requires escalation.
A self-motivated, proactive approach, with the ability to work independently in a fast-paced global environment.
Nice to Haves
Familiarity with commonly used trade surveillance & reporting tools.
Professional AML/ATF compliance training or accreditation (e.g. ICA or CAMS).
Practical knowledge of CeFi trading products, including spot, derivatives, margin or leveraged products, institutional services, and OTC flows.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The salary range for this position is $75,000 - $113,000
The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Indianapolis, United States; Ohio City, United States; Chicago, United States
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УдалённоNetherlands; Germany; Sweden; Switzerland; New Zealand; Spain
УдалённоUnited States; Saudi Arabia; Canada; United Kingdom; Australia; Ireland
УдалённоSerbia; Croatia; Greece; Malaysia; Morocco; South Africa
УдалённоBrazil; Mexico; Argentina; Colombia; Poland; Romania
ГибридParis; 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
УдалённоГеография найма не уточнена
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New York, United States
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