Location: COSTA CRUISES, Worldwide
ISMIRA Agency
actively recruiting for positions
BUFFET SUPERVISOR
for COSTA CRUISES!
Buffet Supervisor
leads and directs department activity in any area as assigned according to SOP (Standard Operating Process) in order to deliver an excellent service to the Guest
Conditions:
Free food and accommodation on board
First joining ticket is provided by company
Medical insurance provided during the work contract
Contract 6-8 months, followed by 2 months vacation
Activities for crew
Opportunity to save money and travel while working
Meet new friends from all over the world
Great chance to show yourself and build a career
Responsibilities:
Regularly visit Guest at the table during service to ensure Guest satisfaction and establish a good relationship to improve service delivery
Assures that the assigned areas are arranged as per manual by supervising the area and controlling the Buffet set up
Organizes the shift schedules, controls and assigns the Staff to the directed station in order to provide speedy, courteous and professional buffet service according to Company procedures
Supervises cleaning, maintenance and sanitation in order to assure adherence to USPH standard and require immediate reparation of out of order equipment
Takes in charge or reports to the line manager Guests complaints in order to provide a fast and effective solution
Leads training sessions and follows up to ensure the training is achieving set goals
Supervises special events (i.e. beverage service on Pier, Pizzeria, generic food outlet) in order to assure adequate arrangement
Is responsible for and takes physical inventories of all materials and products located in the assigned area on weekly basis
At the end of each service fills in a report regarding the service execution and transmits it to the head of department
Requirements:
Minimum 19 years old
Good level of English and Russian
Knowledge of any additional European language is an advantage ( Italian, French, German, Spanish, Portuguese, Chinese)
At least 1 year experience in middle management position in a Restaurant with 80/100 seats.
Ship experience in the same position will be an advantage.
Good administrative skills.
Work with international team members.
Tattoos are allowed (except offensive and facial)
Nationalities that we process:
🇺🇦
🇲🇩
🇰🇿
🇰🇬
🇺🇿
🇦🇲
🇦🇿
🇹🇯
🇹🇲
🇷🇺
Last updated: June 7, 2024
If you are not sure what position to apply for, you may instead submit a general application here and we will advise you:
https://ismira.breezy.hr/p/c3fb653b09b501-general-application-for-hospitality-positions
Location: Cartago, Costa Rica
Uptalent.io is seeking a Country Manager in Costa Rica for one of their key clients:
A leading company specializing in custom bearings and power transmission solutions, offering a comprehensive range of engineering services and products for heavy industry, including design, manufacturing, distribution, operation, and maintenance.
This position will play a pivotal role in overseeing both operational efficiency and commercial success. The occupant will be responsible for managing day-to-day operations, optimizing processes, and driving revenue growth through effective commercial strategies.
Operational Management:
Oversee all aspects of workshop operations, including production scheduling, inventory management, quality control, and safety compliance.
Implement efficient workflows and procedures to maximize productivity and minimize downtime.
Lead and mentor a team of technicians and production staff to ensure high performance and adherence to company standards.
Monitor key performance indicators (KPIs) and implement continuous improvement initiatives to enhance operational efficiency.
Commercial Strategy:
Develop and execute comprehensive commercial strategies to drive sales growth and expand market share.
Identify new business opportunities and forge strategic partnerships with key stakeholders in the power transmission and wind energy sectors.
Collaborate with the sales team to develop customized solutions for clients and ensure customer satisfaction.
Analyze market trends, competitor activities, and customer feedback to inform business decisions and product development efforts.
Project Management:
Coordinate project execution from inception to completion, ensuring timely delivery and adherence to budgetary constraints.
Work closely with engineering and technical teams to ensure seamless project implementation and client satisfaction.
Manage project risks and mitigate potential obstacles to ensure successful outcomes.
Financial Management:
Develop and manage departmental budgets, forecasts, and financial reports.
Monitor revenue streams, expenses, and profitability metrics to achieve financial targets.
Identify cost-saving opportunities and implement cost-control measures without compromising quality or safety standards.
Regulatory Compliance:
Ensure compliance with all relevant regulations, standards, and certifications governing the power transmission and renewable energy industries in Costa Rica and other Central-American countries.
Stay abreast of changes in legislation and industry best practices to ensure ongoing compliance and risk mitigation.
Requirements
Bachelor's degree in Industrial Engineering, Mechanical Engineering or related is mandatory.
Over 10 years of experiences in the following:
Operations management and commercial leadership roles, preferably in the power transmission or renewable energy sector.
5 to 10 years of experience in the following:
Strong technical aptitude with knowledge of power transmission systems, wind energy technology, and related manufacturing processes.
Excellent leadership, communication, and interpersonal skills with a track record of building and motivating high-performing teams.
Proficiency in project management tools and techniques, with experience overseeing complex projects from conception to delivery.
Sound understanding of financial principles and experience managing budgets, forecasts, and financial performance metrics
Familiarity with regulatory requirements and industry standards governing the power transmission and renewable energy sectors in Costa Rica.
Benefits
Work for a leading global company with presence in USA and across Latam.
Highly competitive compensation.
Location: Jamaica; Ethiopia; Mexico; Chile; Costa Rica; Dominican Republic
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
Job Summary
We are seeking a high-
energy
, self-driven Account Executive to lead owner acquisition efforts for a premier vacation rental management brand in the Black Hills and Colorado Springs markets. This is a full-cycle sales role for a "hunter" who thrives on turning cold prospects into signed management agreements. You will be the face of the brand for homeowners, leveraging data-backed revenue projections to show them why we are the best choice to manage their investment. If you are a proactive closer who prefers high-commission upside and wants a clear path to a Lead Sales Rep position, this is the role for you.
Key Responsibilities
Own the end-to-end sales cycle, from initial prospecting to the final signed management agreement.
Execute daily outbound prospecting targeting real estate agents, Zillow/MLS listings, and self-managed vacation rental owners.
Respond with extreme urgency to warm leads generated by national marketing and direct mail campaigns.
Conduct professional 30-minute Google Meet presentations using company decks and custom financial projections to handle objections and close deals.
Manage and maintain the CasaGrow CRM daily, ensuring every interaction and pipeline stage is accurately tracked.
Collaborate with local Operations teams to ensure a seamless handoff once a contract is signed.
Meet and exceed a target of 3 to 6+ closed units per month.
Requirements
3 to 7 years of experience in high-ticket consultative sales, specifically working with US-based clients.
Proven track record in full-cycle sales: finding leads, cold calling, and booking your own appointments.
Advanced CRM proficiency; you must be comfortable setting up workflows and managing a database of 700+ leads without relying on spreadsheets.
Exceptional English communication skills; you must be clear, professional, and easily understood on video and phone.
Strong financial literacy; comfortable presenting revenue projections and ROI to property owners.
A "closer" mentality; you take pride in winning the deal yourself rather than just setting appointments.
Experience in the vacation rental, hospitality, or real estate industries.
Previous experience using CasaGrow or similar property management sales CRMs.
Experience building referral networks with real estate agents.
Benefits
💰 Competitive salary
🌎 Fully remote role with flexible work environment
🚀 Work with high-growth global companies and innovative products
📈 Clear progression path into senior sales or leadership roles
🎯 Performance-based incentives and bonuses
🤝 Collaborative, high-performance sales culture
Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico
About Backblaze
Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands.
Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $136M ARR and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals.
But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Site Reliability Engineer III (DBA) in LATAM to join our team!
About the Role
We are seeking a Site Reliability Engineer III with a Database Administration focus to help ensure the stability, scalability, and reliability of our production database systems, primarily Vitess (distributed MySQL) and Cassandra, alongside the rest of our production services and infrastructure.
This database specialization is layered on top of the full SRE III scope on the team. You will carry the same on-call, incident response, and service ownership expectations as other SRE IIIs, with database systems serving as your area of deepest technical ownership.
Because our SRE Database Engineering function is new, this role will also help establish its operational foundation by designing database architecture and developing the runbooks, escalation guidance, procedures, and training materials that our Level 1 and Level 2 SRE Database Engineers will use as they onboard.
The ideal candidate will have strong experience with production database systems, Linux, automation, distributed systems, Kubernetes, observability, and incident response, with a proactive approach to reliability and operational excellence.
What You'll Do:
Database Architecture & Administration:
Design, deploy, and own highly available database architecture for Vitess (distributed MySQL) and Cassandra.
Establish and document operational procedures, runbooks, and escalation guidance for Level 1 and Level 2 SRE Database Engineers.
Optimize database performance through query tuning, indexing strategies, schema design, and capacity planning.
Own database backup, recovery, replication, and disaster recovery strategies.
Perform and validate disaster recovery testing and database recovery procedures.
Drive database security, access control, patching, hardening, and compliance practices.
Serve as an escalation point for complex database production incidents.
Partner with the DBA and Data Infrastructure teams on resharding, capacity planning, replication, and architecture decisions for sharded MySQL environments.
Service Reliability & Operations:
Support the availability and durability of critical services across production environments.
Monitor service health using SLIs, SLOs, error budgets, monitoring, logging, and alerting platforms.
Partner with service owners to define and improve SLIs, SLOs, error budget policies, and alerting.
Participate in on-call rotations, incident response, root cause analysis, and post-incident reviews.
Serve as an escalation point for complex production database and infrastructure incidents.
Follow established ITIL/OSS processes including incident, change, problem, and capacity management.
Take ownership of operational issues and drive projects from problem discovery through resolution.
Automation & Tooling:
Develop automation for common operational and database administration tasks to reduce manual intervention and operational toil.
Contribute to monitoring, logging, and alerting frameworks including Prometheus, Grafana, Catchpoint, and ELK.
Help integrate operational runbooks and incident response workflows with FireHydrant.
Work with CI/CD pipelines, configuration management, and infrastructure as code tools including Terraform, Ansible, and Jenkins.
Develop scripts using Bash, Python, Go, or similar technologies to improve reliability and operational efficiency.
Operate and troubleshoot containerized production environments using Kubernetes and Docker.
Work within Kubernetes and Vitess environments using technologies such as kubectl, mysqlsh, and Vitess keyspaces.
Work with HashiCorp technologies including Terraform, Vault, and Nomad.
Project Management & Collaboration:
Lead Production Readiness Reviews (PRRs) for functionality being handed off from engineering partner teams.
Support the operational readiness of new database-backed services before they enter production.
Build training plans, onboarding materials, and technical documentation for new Level 1 and Level 2 SRE Database Engineers.
Partner with Engineering, Product, Operations, and DBA/Data Infrastructure teams on reliability initiatives.
Assist with capacity planning, disaster recovery exercises, database migrations, and infrastructure projects.
Work with vendors and service providers to troubleshoot service issues and track SLA performance.
Identify opportunities for automation and process efficiency.
Share technical knowledge and help grow a reliability-minded engineering culture.
Incident Response:
Respond to and resolve production database, infrastructure, and service incidents.
Troubleshoot and escalate database, Linux, networking, application, and infrastructure issues as needed.
Participate in the on-call rotation and serve as an escalation point for database-related incidents.
Lead or contribute to root cause analysis and post-incident reviews.
Identify recurring issues and develop long-term corrective actions to improve reliability.
Design action plans to address recurring operational and database problems.
What We Value:
A proactive mindset with a can-do attitude.
Someone who can work independently, take ownership, and drive complex technical problems through resolution.
Someone who steps up, supports teammates, mentors others, and shares knowledge freely.
Strong problem-solving skills and a willingness to learn new technologies.
Curiosity, reliability, and a desire to improve the reliability and scalability of production systems.
Required Qualifications:
6–8 years of experience in site reliability engineering, systems engineering, infrastructure operations, database engineering, or similar roles, with meaningful experience supporting production database systems.
Deep hands-on experience with MySQL and distributed or sharded database systems.
Experience with Vitess in a production environment strongly preferred.
Experience administering and supporting NoSQL databases such as Cassandra.
Experience designing high-availability database architecture, replication topology, backup strategies, and disaster recovery processes.
Strong SQL skills, including query performance analysis, indexing, schema design, and troubleshooting.
Solid Linux systems administration and troubleshooting skills.
Experience with security-focused operations including patching, system hardening, access controls, and vulnerability remediation.
Strong understanding of service reliability concepts including monitoring, alerting, incident response, root cause analysis, SLIs, SLOs, and error budgets.
Experience working with containers and orchestration platforms including Kubernetes and Docker.
Comfortable operating in Kubernetes and Vitess environments using tools such as kubectl, mysqlsh, and Vitess keyspaces.
Experience with infrastructure and configuration management technologies including Terraform, Ansible, Jenkins, and HashiCorp products such as Vault and Nomad.
Proficiency in at least one scripting language such as Python, Bash, or Go.
Experience establishing operational procedures, runbooks, documentation, and escalation processes.
Experience mentoring, training, or helping onboard engineers into complex technical environments.
Experience supporting large-scale, production-grade systems.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
Preferred Qualifications:
Direct production experience with Vitess.
Experience with large-scale distributed or sharded MySQL environments.
Experience with Cassandra or similar distributed NoSQL databases at scale.
Experience in SaaS, cloud services, service provider, or large-scale distributed systems environments.
Experience with AWS, GCP, Azure, or similar cloud platforms.
Familiarity with ITIL/OSS practices and SLA/SLO management.
Experience leading Production Readiness Reviews.
Experience developing onboarding or technical training materials for engineers.
Experience acting as a technical escalation point for database or infrastructure incidents.
At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.
At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer.
To understand more about the data we collect and process as part of your application, please view our
Backblaze Employee Privacy Notice.
Location: United States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico
Workplace: Remote
Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones)
Start Date: ASAP
Languages: English
Team: Engineering
ABOUT THE ROLE
Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand.
We are looking for a Research Engineer, Synthetic Data to build the synthetic data pipeline. You will turn domain-specific workflows into synthetic training tasks that are realistic enough to teach useful behaviour, structured enough to generate at scale, and difficult enough to expand model capabilities.
This is a hands-on research engineering seat, not a commercial or privacy-systems role. You will design how synthetic tasks are created, mutated and validated, and you will analyse what those tasks actually teach models and agents.
This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring.
WHAT YOU'LL DO
- Work with subject-matter experts to create synthetic tasks for training AI agents across a range of professional and technical domains.
- Design synthetic task-generation methods that produce diverse, realistic and learnable tasks.
- Build systems and tooling to mutate, validate and improve synthetic tasks.
- Analyse model and agent performance on synthetic tasks to understand what the tasks are teaching and where they fail.
- Develop metrics to quantify and understand synthetic task diversity, realism, learnability and related qualities.
- Take synthetic data pipelines from early research through to reliable systems, including in areas where the roadmap is not fully prescribed.
WHAT WE'RE LOOKING FOR
- Proficiency in Python, Docker and Linux environments.
- Experience with synthetic data research methods — please be ready to describe this in your application.
- A strong understanding of what “good synthetic data” means, and of its limitations.
- Experience building synthetic data pipelines end to end, including where there was no fully prescribed roadmap.
- Experience working on environments, evals or benchmarks.
- Clear written and spoken English, and comfort collaborating remotely across time zones.
- Strong candidates may also be detail-oriented enough to catch subtle inconsistencies or edge cases in synthetic data; able to reason from first principles about task design, scoring and failure modes; and comfortable in unstructured problem spaces or early-stage environments.
- Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above.
WHY THIS ROLE MATTERS FOR YOU
- Build the synthetic data pipeline: You will design the tasks and systems that generate training data at scale, not only run experiments on someone else's pipeline.
- Research that has to work in production: Turn messy, domain-specific workflows into tasks that are realistic, measurable and usable for training agents.
- See what the data actually teaches: Analyse model and agent performance, and improve the tasks when they fail.
- High ownership, unstructured problems: You will build without a fully prescribed roadmap, from method design through tooling and metrics.
- San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring.
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: United States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico
Workplace: Remote
Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones)
Start Date: ASAP
Languages: English
Team: Engineering
ABOUT THE ROLE
Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand.
We are looking for a Research Engineer, Privacy and Anonymization to build the systems that make sensitive, real-world data safe and still useful for AI training. You will develop methods to detect and remove personally identifiable information, secrets and other sensitive content from raw data before it enters processing and synthetic data pipelines — protecting privacy without destroying the structure and signal that make the data valuable for training agents.
This is a privacy and data-protection engineering seat, not a synthetic-task design role. You will own the pipeline that stands in front of downstream processing, training, evaluation and synthetic generation.
This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring.
WHAT YOU'LL DO
- Build systems to detect PII, quasi-identifiers, credentials and other sensitive information, and design transformations based on the data type and the downstream use case.
- Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods.
- Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation.
- Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests and adversarial re-identification attempts.
- Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields.
- Work with engineering, research, operations and customers to translate privacy requirements into practical technical policies and safeguards.
WHAT WE'RE LOOKING FOR
- Strong proficiency in Python, and experience building reliable production data or machine-learning systems.
- Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content.
- Strong experimental instincts, and the ability to compare approaches across recall, precision, latency, cost and downstream data utility.
- An understanding of the difference between redaction, masking, pseudonymization, anonymization and synthetic data — and when each is appropriate.
- High attention to detail, and the ability to reason about subtle leakage paths, edge cases and adversarial failure modes.
- Experience building data-processing pipelines end to end, including where there was no fully prescribed roadmap.
- Clear written and spoken English, and comfort collaborating across teams and time zones.
- Strong candidates may also have hands-on experience with privacy-enhancing technologies (such as differential privacy, k-anonymity, secure aggregation or format-preserving encryption); have worked with sensitive data in healthcare, finance or security; have built low-latency or high-throughput ML inference or data-processing systems; or have taken work from early research through to production.
- Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above.
WHY THIS ROLE MATTERS FOR YOU
- Make real-world data safe to train on: You will build the systems that let sensitive data be used for AI training without exposing people or secrets.
- Privacy without wrecking utility: The job is not only to redact, but to keep the structure and signal that downstream training and synthetic pipelines need.
- From detection to production: You will own the full path: detection methods, transformations, evaluation, and the pipeline that sits in front of training and generation.
- Hard, high-stakes edge cases: Work on leakage paths, schema drift and adversarial failure modes, not only clean benchmark datasets.
- San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring.
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: Paris, France; London, United Kingdom; Lisbon, Portugal; Milan, Italy; Rome, Italy; Berlin, Germany; Athens, Greece; Barcelona, Spain; Bari, Italy; Split, Croatia; Copenhagen, Denmark; Oslo, Norway; Tallinn, Estonia; Lima, Peru; Limassol, Cyprus; Budapest, Hungary; Florence, Italy; Amsterdam, Netherlands; Stockholm, Sweden; Warsaw, Poland; Kraków, Poland; Lublin, Poland; Opole, Poland; A Coruña, Spain; Aachen, Germany; Aalborg, Denmark; Aarhus, Denmark; Aberdeen, United Kingdom; Alanya, Türkiye; Algarve, Portugal; Loulé, Portugal; Alicante, Spain; Andijan, Uzbekistan; Amstetten, Austria; Ankara, Türkiye; Almería, Spain; Antalya, Türkiye; Antipolo, Philippines; Ariana, Tunisia; Aracaju, Brazil; Antwerp, Belgium; Arequipa, Peru; Asenovgrad, Bulgaria; Ashgabat, Turkmenistan; Asunción, Paraguay; Auckland, New Zealand; Augsburg, Germany; Austin, United States; Amadora, Portugal; Almaty, Kazakhstan; Alajuela, Costa Rica; Badajoz, Spain; Badgastein, Austria; Bamberg, Germany; Basel, Switzerland; Batumi, Georgia; Batam, Indonesia; Bedford, United Kingdom; Belgrade, Serbia; Bengaluru, India; Bern, Switzerland; Birmingham, United Kingdom; Bordeaux, France; Bologna, Italy; Braga, Portugal; Brașov, Romania; Bray, Ireland; Brixen, Italy; Seoul, South Korea; Bydgoszcz, Poland; Caen, France; Čačak, Serbia; Caieiras, Brazil; Cairo, Egypt; Campinas, Brazil; Carapicuiba, Brazil; Capiatá, Paraguay; Cascais, Portugal; Catania, Italy; Cebu City, Philippines; Celje, Slovenia; Cardiff, United Kingdom; České Budějovice, Czechia; Chelyabinsk, Russia; Chiclayo, Peru; Chișinău, Moldova; Christchurch, New Zealand; Cookstown, United Kingdom; Conlig, United Kingdom; Córdoba, Argentina; Cork, Ireland; Cotia, Brazil; Craiova, Romania; Crete, Greece; Cusco, Peru; Daegu, South Korea; Damascus, Syria; Darmstadt, Germany; Debrecen, Hungary; Derby, United Kingdom; Dubai, United Arab Emirates; Dublin, Ireland; Düsseldorf, Germany; Edirne, Türkiye; Edinburgh, United Kingdom; Eindhoven, Netherlands; Eisenstadt, Austria; Essen, Germany; Faro, Portugal; Frankfurt, Germany; Fortaleza, Brazil; Freiburg, Germany; Gdańsk, Poland; Gebele, Azerbaijan; Gaziantep, Türkiye; Ganja, Azerbaijan; Geneva, Switzerland; George Town, Malaysia; Gothenburg, Sweden; Goiânia, Brazil; Glasgow, United Kingdom; Graz, Austria; Girona, Spain; Gurugram, India; Gyumri, Armenia; Hamilton, New Zealand; Haiphong, Vietnam; Hamburg, Germany; Île-de-France, France; Innsbruck, Austria; Ingolstadt, Germany; Johannesburg, South Africa; Kandy, Sri Lanka; Kano, Nigeria; Karpacz, Poland; Kardzali, Bulgaria; Karachi, Pakistan; Kaunas, Lithuania; Katowice, Poland; Kerpen, Germany; Khon Kaen, Thailand; Kičevo, North Macedonia; Klagenfurt am Wörthersee, Austria; Konak, Türkiye; Klang, Malaysia; Konya, Türkiye; Kraljevo, Serbia; Kragujevac, Serbia; Krasnoyarsk, Russia; Krasnodar, Russia; Krushevo, North Macedonia; Ksamil, Albania; Kyiv, Ukraine; Kumanovo, North Macedonia; Kufstein, Austria; Kutaisi, Georgia; Kyustendil, Bulgaria; La Chorrera, Panama; La Plata, Argentina; Larissa, Greece; Larnaca, Cyprus; Lankaran, Azerbaijan; Leeds, United Kingdom; Nicosia, Cyprus; Lefke, Cyprus; Leicester, United Kingdom; Leibnitz, Austria; Leoben, Austria; Leon, Mexico; Limbourg, Belgium; Liepāja, Latvia; Limerick, Ireland; Linz, Austria; Liverpool, United Kingdom; Ljubljana, Slovenia; Łódź, Poland; Luang Prabang, Laos; Madrid, Spain; Maceió, Brazil; Maastricht, Netherlands; Lyon, France; Lviv, Ukraine; Malacca, Malaysia; Málaga, Spain; Manaus, Brazil; Manchester, United Kingdom; Manila, Philippines; Maracaibo, Venezuela; Marbella, Spain; Maribor, Slovenia; Marrakech, Morocco; Marseille, France; Medellín, Colombia; Melbourne, Australia; Milpitas, United States; Metropolitan City of Naples, Italy; Miskolc, Hungary; Monaghan, Ireland; Mumbai, India; Munich, Germany; Nairobi, Kenya; Namangan, Uzbekistan; Newcastle upon Tyne, United Kingdom; New York, United States; New Taipei City, Taiwan; Nice, France; Niš, Serbia; Novosibirsk, Russia; Nyíregyháza, Hungary; Oeiras, Portugal; Ohrid, North Macedonia; Ostrava, Czechia; Osaka, Japan; Omsk, Russia; Panama City, Panama; Palermo, Italy; Paphos, Cyprus; Pasto, Colombia; Passau, Germany; Patras, Greece; Pattaya City, Thailand; Pécs, Hungary; Pereira, Colombia; Petaling Jaya, Malaysia; Pforzheim, Germany; Phoenix, United States; Phu Quoc, Vietnam; Phuket, Thailand; Pilsen, Czechia; Porto, Portugal; Porto Alegre, Brazil; Plovdiv, Bulgaria; Poznań, Poland; Prague, Czechia; Pristina, Kosovo; Quezon City, Philippines; Puente Alto, Chile; Rangpur, Bangladesh; Rawalpindi, Pakistan; Recife, Brazil; Regensburg, Germany; Rennes, France; Reus, Spain; Riga, Latvia; Rosenheim, Germany; Rotterdam, Netherlands; Ruhr, Germany; Saint Pölten, Austria; Saint-Étienne, France; Saint-Tropez, France; Shanghai, China; Sheffield, United Kingdom; Shenzhen, China; Sibiu, Romania; Sidon, Lebanon; Sintra, Portugal; Sofia, Bulgaria; Stara Zagora, Bulgaria; Strumica, North Macedonia; Stuttgart, Germany; Suzano, Brazil; Sveta Nedelja, Croatia; Swansea, United Kingdom; Sydney, Australia; Taichung City, Taiwan; Taipei City, Taiwan; Tainan City, Taiwan; Tartu, Estonia; Taoyuan City, Taiwan; Tbilisi, Georgia; Tel Aviv-Yafo, Israel; Tehran, Iran; The Hague, Netherlands; Thun, Switzerland; Tirana, Albania; Tokyo, Japan; Tijuana, Mexico; Toulouse, France; Tripoli, Lebanon; Trujillo, Peru; Turin, Italy; Ulm, Germany; Utrecht, Netherlands; Valencia, Spain; Valletta, Malta; Venice, Italy; Verona, Italy; Vienna, Austria; Vilnius, Lithuania; Vĩnh Phúc, Vietnam; Washington, United States; Wiesbaden, Germany; Würzburg, Germany; Xi'An, China; Yerevan, Armenia; Yokohama, Japan; Zagreb, Croatia; Zadar, Croatia; Zaragoza, Spain; Zürich, Switzerland; Brno, Czechia; Adelaide, Australia; Baku, Azerbaijan; Belfast, United Kingdom; Bergen, Norway; Birkirkara, Malta; Bratislava, Slovakia; Bruges, Belgium; Brussels, Belgium; Bucharest, Romania; Burgas, Bulgaria; Cluj-Napoca, Romania; Cologne, Germany; Constanța, Romania; Coventry, United Kingdom; Daugavpils, Latvia; Dnipro, Ukraine; Dresden, Germany; Galway, Ireland; Genoa, Italy; Ghent, Belgium; Hanover, Germany; Helsinki, Finland; Heraklion, Greece; Iași, Romania; İstanbul, Türkiye; Kazan, Russia; Kharkiv, Ukraine; Košice, Slovakia; Leipzig, Germany; Lille, France; Malmö, Sweden; Moscow, Russia; Nantes, France; Naples, Italy; Newcastle, United Kingdom; Nizhny Novgorod, Russia; Novi Sad, Serbia; Nuremberg, Germany; Pljevlja, Montenegro; Podgorica, Montenegro; Saint Petersburg, Russia; Salzburg, Austria; Samara, Russia; San Marino; Sarajevo, Bosnia and Herzegovina; Seville, Spain; Skopje, North Macedonia; Sliema, Malta; Abu Dhabi, United Arab Emirates; Alexandria, Egypt; Avignon, France; Bắc Ninh, Vietnam; Baghdad, Iraq; Bali, Indonesia; Bangkok, Thailand; Bangor, United Kingdom; Barranquilla, Colombia; Bayreuth, Germany; Beijing, China; Beirut, Lebanon; Belém, Brazil; Benin City, Nigeria; Binh Duong, Vietnam; Boston, United States; Newport, United Kingdom; Los Angeles, United States; San Francisco, United States
Workplace: fully
David Kennedy Recruitment
is working with a fast-growing AI technology company behind an AI companionship platform that is seeking to onboard a Mid/Senior AI Cinematic Video Creator to join their team.
The successful candidate will be deeply embedded in generative video workflows, independently creating high-quality, narrative-driven long-form content from concept to final output using AI-first pipelines. The content includes explicit adult material, so candidates must be fully comfortable working with it.
Location: Worldwide, Remote
Employment type: B2B contract
Remuneration: Competitive salary dependent on experience
DUTIES AND RESPONSIBILITIES:
Conceptualise scripts based on current production needs, centered on the company’s existing AI characters
Create narrative-driven long-form video content, including stylised and explicit NSFW visuals, with a strong focus on storytelling, atmosphere and visual coherence
Own end-to-end AI video production, from ideation and prompting through generation, editing and post-production
Build, customise and optimise node-based ComfyUI workflows for image and video generation
Use tools such as Stable Diffusion (AUTOMATIC1111), ComfyUI, Runway and other AI video platforms to produce high-quality sequences
Maintain consistent character appearance, style and scene continuity across longer narratives
Integrate motion graphics and colour correction to deliver cohesive final outputs
Experiment quickly with new AI models and techniques, and share skills with the team
Follow the Content Lead’s creative direction while keeping a high degree of autonomy in execution and technical decisions
Continuously refine workflows for efficiency, scalability and output quality
REQUIREMENTS:
4–6+ years of experience in video production, VFX or digital art, with a strong portfolio that includes AI-driven video work
Proven experience with ComfyUI, including building and managing complex node-based workflows
Strong proficiency in Stable Diffusion / AUTOMATIC1111, including advanced prompting, trained LoRAs, refining, upscaling and inpainting
Hands-on experience with the latest AI video tools and models (e.g. Kling, Seedance, Happy Horse)
Solid understanding of AI image and video generation pipelines, including prompting, batching, consistency techniques and post-processing
Experience with Premiere Pro, After Effects or similar for final assembly and polish
Strong grasp of visual storytelling, pacing, composition and cinematic language
Ability to keep character and scene consistency across AI-generated sequences
High ownership, an experimental mindset and fast iteration cycles
Fluent English and strong communication skills
Fully comfortable working with uncensored models and explicit adult content
Advantages
Experience in AI-native storytelling or filmmaking
Background in 3D, VFX, technical art or colour grading
Familiarity with training and customising models (LoRAs, embeddings, fine-tuning)
Prior experience in adult, dating or adjacent creative industries
BENEFITS:
Fully remote working from Europe
B2B contract preferred, full-time
Opportunity to own safety in a new, high-impact role on a product with 50M+ users
And many more!!!
Location: San José, Costa Rica
Who are we?
Centro is an international product development company with over 15 years of expertise in web development, commercial design, affiliate, and online marketing. Our diverse and talented team operates across various countries, including the USA, Canada, Cyprus, Ukraine, Poland, Georgia, and more.
Our project is the original home of independent creators producing niche digital content.
What you’ll be working on:
Apply Agile and Scrum principles in day-to-day work while planning and managing project timelines, releases, and rollouts;
Research, evaluate, and validate new product ideas aligned with company OKRs and overall product strategy;
Define clear, well-structured product requirements and communicate them effectively to the development team, including technical context and feedback;
Collaborate with other Product Owners and stakeholders to manage dependencies, align priorities, and ensure smooth, timely feature delivery
Maintain regular communication with stakeholders to set expectations, gather input, and address questions;
Scope resources, prioritize backlog items, and define sprint goals while monitoring progress and removing blockers;
Lead by example to foster a collaborative, autonomous team environment and drive accountability;
Take ownership of problem-solving by driving solutions, implementing fixes, and ensuring task completion;
Design and execute A/B tests, and monitor product usage to continuously optimize Creator tools;
Stay up to date with industry trends and conduct competitive analysis across both niche and mainstream markets;
Understand user flows by implementing tracking, building reports and dashboards, and continuously optimizing flows based on data insights;
Understand and track stakeholder KPIs, communicate performance insights, and adapt messaging for different audiences.
About you:
5+ years of experience as a Product Owner or Product Manager in a web development environment, with strong hands-on experience using AI tools as part of day-to-day product management workflows.
Strong product thinking with the ability to identify high-impact opportunities, prioritize effectively, and drive initiatives from discovery to validation;
User-first mindset with a strong focus on customer behavior, and business impact;
Proven ability to rapidly prototype product concepts using AI-powered tools, validate ideas with users and data, and iterate quickly based on feedback.
Data-driven approach to decision-making, including experience with product analytics, experimentation, and performance measurement;
Experience with subscription-based products is a strong advantage;
Demonstrated ability to think strategically, identify market opportunities, and translate business objectives into product initiatives with measurable outcomes.
Strong understanding of OKR frameworks; outcome-driven product development, experimentation frameworks, and modern product operating model
Comfortable working in AI-first product development environments where prototypes, AI-generated specifications, and rapid experimentation are used to accelerate delivery.
Solid technical understanding of modern development workflows, tools, and engineering concepts;
Hands-on experience with AI tools such as ChatGPT, Claude, Cursor, Lovable, v0, or similar AI-powered workflows;
Ability to leverage AI tools to accelerate product discovery, documentation, analysis, experimentation, and execution;
Skilled in writing clear, structured, and actionable product requirements optimized for both human collaboration and AI-assisted workflows;
Strong analytical, communication, and stakeholder management skills;
Highly adaptable, detail-oriented, and comfortable operating in rapidly evolving environments;
Strong ownership mindset with the ability to influence, inspire, and motivate cross-functional teams;
Why work with us?
Competitive salary - receive compensation that reflects your skills and experience;
Growth and development - opportunities to grow are endless, with support for your professional development;
Remote flexibility - work from anywhere, with a team that values balance and productivity;
High level of autonomy, ownership, and accountability;
No bureaucracy or micromanagement – we value autonomy and initiative;
Educational programs to expand your knowledge and skills;
Team-building activities and opportunities to attend industry events;
Paid holidays, vacation, personal days and sick leave.
Like ownership and real impact? We should meet 🚀
Location: Costa Rica
We’re looking for a
Payment Processing Manager
. As we continue scaling our marketplace and subscription products, we're looking for a Payment Processing Manager who will optimize payment performance, improve conversion rates, reduce fraud and chargebacks, and drive smarter payment strategies across the business.
About us
Centro is an international product company with over 20 years of expertise in product development, affiliate marketing, and online technologies. Our team of 300+ professionals across Europe and North America builds products used by millions of users worldwide.
Key Responsibilities
Own and optimize the end-to-end payment ecosystem across marketplace and subscription products.
Increase payment approval rates through routing, processor optimization, and payment recovery strategies.
Lead fraud prevention, chargeback management, and payment risk initiatives while balancing conversion and security.
Improve checkout, recurring billing, and subscription payment performance to maximize revenue and reduce churn.
Analyze payment data and implement data-driven improvements across the payment funnel.
Collaborate with Product, Engineering, Finance, Trust & Safety, and payment partners to deliver a seamless payment experience.
Evaluate new payment methods, processors, and technologies to support business growth.
Qualifications
5 years of experience
in payments, payment operations, fintech, e-commerce, subscriptions, or marketplaces.
Experience with subscription billing, recurring payments, payment optimization, and payment recovery strategies.
Knowledge of fraud prevention, chargeback management, payment risk, and payment compliance.
Strong analytical skills with the ability to translate payment data into actionable business decisions.
Experience working cross-functionally with Product, Engineering, Finance, Risk, and Compliance teams.
Excellent communication, stakeholder management, and problem-solving skills.
Understanding of payment gateways, processors, acquiring, card networks, authorization flows, and BIN routing is an asset.
Why work with us?
Competitive salary - receive compensation that reflects your skills and experience;
Growth and development - opportunities to grow are endless, with support for your professional development;
High level of autonomy, ownership, and accountability;
No bureaucracy or micromanagement – we value autonomy and initiative;
Educational programs to expand your knowledge and skills;
Team-building activities and opportunities to attend industry events;
Paid holidays, vacation, personal days and sick leave.
Send us your resume today - we are excited to meet you!
Location: Costa Rica
We are a thriving company in the eCommerce space, with operations worldwide. We offer employees a balance between the stability of a larger organization, while maintaining our culture of an innovative, leading-edge startup. The head office is located in Montreal and we have offices in Canada, the United States and Europe (Cyprus, Georgia and Ukraine).
Our product:
A trailblazer in the clip marketplace delivering authentic content from studios to consumers worldwide.
The
Content Moderator
plays a key role in maintaining a safe and compliant online environment by reviewing and enforcing content policies. This position involves monitoring user-generated content, identifying potential policy violations, and ensuring adherence to platform guidelines. The Content Moderator helps uphold online safety standards by accurately assessing flagged content, applying moderation decisions consistently, and escalating complex cases when necessary.
RESPONSIBILITIES:
Review and moderate user-generated content to ensure compliance with platform policies and guidelines.
Identify and report content that violates safety standards, community guidelines, or legal requirements.
Follow established moderation procedures to maintain consistency in enforcement.
Meet accuracy and productivity targets while making fair and objective moderation decisions.
Escalate complex cases to senior moderators or policy teams when necessary.
Maintain confidentiality and privacy when handling sensitive content and user data.
REQUIREMENTS
Preferred:
6 months-1 year of experience in compliance, regulatory affairs, or related trust and safety fields.
Strong attention to detail and ability to review content that may include hate speech, fraud or misinformation/disinformation.
Basic understanding of content moderation tools, workflows, and community guidelines.
Awareness of cultural differences and their impact on online communities.
Strong written and verbal communication skills in English, with the ability to document moderation decisions clearly.
We offer:
Paid vacation and sick leaves days;
Leading company in its field on the market (worldwide);
Learning and sport program;
Full remote work from home;
Cool & friendly team.
Location: Remote, United States
About Adrian Magnus | Part of Carazo Enterprise SL
Some products are made. Ours are crafted.
Adrian Magnus
creates aged premium and ultra-premium cigars from the finest tobacco of the Dominican Republic, Nicaragua and Ecuador, some aged for up to 15 years.
We are part of
Carazo Enterprise SL
, a premium cigar distributor founded in 2012. Today, more than 40 professionals bring 30+ of the world's finest handcrafted cigar brands to enthusiasts across Europe, the US and Latin America, from our hubs in Madrid, Marbella, Gran Canaria, Panama and Costa Rica.
What drives us is simple: quality without compromise, respect for tradition, and customers who come back because they trust us.
Position summary
We're looking for a sales leader who loves the numbers as much as the people behind them.
As our
B2C Sales Supervisor
, you will lead our B2C sales team in Panama and turn a good team into a great one. You'll own the results: coaching agents on live calls, sharpening scripts and offers, tracking every KPI, and making sure every customer gets a premium experience worthy of the brand.
Your mission:
grow sales, lift agent performance, and build a team that wins month after month.
You'll have real ownership, direct access to leadership, and the chance to shape how a premium brand sells.
The role
You lead our outbound B2C sales team and own its results. This is a hands-on role: you coach on live calls, run the numbers daily and keep the team selling.
Responsibilities
Lead, coach and motivate a team of 10+ outbound sales agents to hit monthly revenue and conversion targets.
Run daily huddles, one-to-ones and live call coaching.
Build and improve sales scripts, objection handling and upsell / cross-sell offers.
Set and track KPIs: dials, contact rate, conversion rate, average order value, revenue per agent, repeat orders.
Run QA: call reviews, scorecards and feedback, with clear follow-up actions.
Manage the pipeline, lead lists, call sequences, workflows and dashboards in HubSpot.
Find and fix conversion drop-offs; test new scripts, offers and call timing.
Drive repeat business through structured follow-ups with existing customers.
Ensure every sale follows our rules: adult (21+) customers only, no health claims, no over-promising.
Report weekly results and actions to management.
Take part in hiring, onboarding and performance management of agents.
Requirements
1. Minimum 5 years of experience as a B2C Sales Supervisor or Call Center Sales Manager.
2. Proven experience managing teams of at least 10 sales agents.
3. Advanced HubSpot CRM knowledge — absolutely mandatory. This is one of our most critical selection criteria.
4. Practical experience selling physical products through outbound call centers, particularly US-based products. We are NOT looking for candidates whose experience is limited to services or inbound customer support.
5. Extensive experience in outbound cold calling, sales scripts, performance tracking, KPI management, QA, and conversion optimization.
6. English C1 or higher — mandatory.
7. Strong hands-on leadership skills and a proven record of improving sales results.
Benefits
Base salary: $3,500-$4,000/month
Performance bonuses and commissions
Total potential compensation: up to $7,000/month
Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico
Security Analytics Engineer
Role Overview
The Security Analytics Engineer designs, operates, and continuously improves the organization's security telemetry, analytics, detection engineering, and observability capabilities. The role provides the data and analytics foundation used by Security Operations while extending traditional SIEM capabilities through behavioral analytics, automation, AI-assisted correlation, and observability for autonomous and agentic systems.
Key Responsibilities
Design and operate scalable security analytics platforms and telemetry pipelines.
Integrate, normalize, enrich, and correlate telemetry from endpoint, identity, cloud, application, infrastructure, network, and AI-enabled systems.
Develop and tune behavioral detections, correlation logic, dashboards, and alerting strategies.
Translate threat intelligence, incidents, vulnerability findings, and offensive-security results into improved detection content.
Build observability for AI agents and autonomous workflows, including identity, tool usage, execution activity, and security-relevant behavior.
Apply AI-assisted techniques to log analysis, correlation, anomaly detection, enrichment, and investigation support.
Automate telemetry management and security workflows while maintaining appropriate human oversight and explainability.
Optimize SIEM and related systems platform reliability, data quality, performance, retention, and cost.
Qualifications
Experience engineering SIEM, security analytics, detection, observability, or large-scale telemetry systems.
Strong knowledge of logging, event correlation, normalization, enrichment, and security data pipelines.
Experience developing detections, behavioral analytics, or correlation logic.
Experience integrating security telemetry from diverse enterprise and cloud environments.
Scripting or software-development experience and familiarity with APIs and Infrastructure-as-Code.
Understanding of modern cloud and distributed architectures.
Familiarity with security telemetry standards, MITRE ATT&CK, AI-assisted analytics, or observability of AI/agentic systems is preferred.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below.
At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing.
We are proud to be an Equal Opportunity Employer.
To understand more about the data we collect and process as part of your application, please view our
Backblaze Employee Privacy Notice.
Location: United States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico
Workplace: Remote
Location: Fully Remote (Pacific time zones)
Start Date: ASAP
Languages: Fluent English required
Industry: AI / Data Infrastructure
Team: Go-to-Market (GTM)
Type: Full-time
ABOUT THE OPPORTUNITY
Pragmatike is hiring a GTM Engineer on behalf of a fast-growing AI company building reliable, fair and open infrastructure for AI training data.
Its marketplace connects data providers with leading AI companies, including startups, Fortune 500 companies and frontier AI labs. Backed by leading venture investors, including Y Combinator, the company is scaling rapidly and expanding its commercial operations.
The company operates a two-sided marketplace where leading AI labs specify the data they need, and the commercial team identifies businesses and individuals who can provide it. As the business grows, the focus is shifting towards building the systems and infrastructure needed to scale these operations efficiently.
As a GTM Engineer, you'll approach go-to-market as an engineering challenge. You'll own the technical infrastructure behind the commercial team, building data pipelines, automations, integrations and internal tools that help a lean team source, qualify and close opportunities at scale.
This is an engineering-first role with a strong commercial focus, ideal for someone who enjoys building practical systems, solving operational bottlenecks and working closely with sales teams and founders.
The company has offices in San Francisco and Singapore, with remote opportunities also available. Working hours will align with either Singapore or US Pacific business hours, depending on your location.
WHAT YOU'LL DO
- Own the GTM tooling stack end to end, including selecting, configuring, integrating and maintaining the tools used by the commercial team.
- Build scalable sourcing systems, including scrapers and data enrichment pipelines, to identify relevant data providers and opportunities.
- Develop and maintain the data infrastructure behind GTM, connecting CRM, marketplace and product data into a reliable source of truth for pipeline, listings and revenue.
- Build internal tools to support provider research, listing quality checks, pipeline management and sales forecasting.
- Automate repetitive workflows across sourcing, qualification, lead routing and reporting.
- Identify operational bottlenecks with the founders and commercial team, prioritising automation projects with the highest impact.
- Explore and implement AI agents where they provide clear advantages over traditional automation.
- Make build-versus-buy decisions for GTM tooling, keeping the technical stack efficient, reliable and easy to maintain.
WHAT WE'RE LOOKING FOR
- 2+ years of professional software engineering experience.
- Strong programming skills in Python or TypeScript, with fluent SQL.
- Experience building internal tools, automations or integrations used by other teams in their day-to-day operations.
- Hands-on experience developing data pipelines and API integrations between different business systems.
- Strong problem-solving skills and the ability to translate business needs into practical technical solutions.
- Commercial awareness and an interest in revenue operations, with the ability to understand sales workflows and prioritise projects that directly support business growth.
- Clear written communication skills and the ability to take ownership in ambiguous, fast-moving environments.
Nice to Have:
- Experience in RevOps, growth engineering, sales engineering or forward-deployed engineering.
- Hands-on experience implementing LLMs or AI agents in production environments.
- Previous experience in an early-stage startup or as a founder.
- Familiarity with AI training data, including RL environments, evaluations and benchmarks.
We're open to motivated candidates who don't meet every requirement. Strong engineering fundamentals, ownership and the ability to learn quickly are what matter most.
WHY THIS OPPORTUNITY
- Build systems that drive revenue: Develop the tools, integrations and pipelines that power the entire commercial operation.
- High impact in a lean team: Automate critical workflows and help a small GTM team operate at significantly greater scale.
- Work directly with founders: Collaborate closely with the founding and commercial teams, identifying problems and deciding what is worth building.
- Work with modern AI tooling: Explore and implement AI agents and automation solutions where they deliver real operational value.
- Flexible working setup: Choose between on-site opportunities in San Francisco or Singapore, or remote work aligned with Singapore or US Pacific business hours.
EQUAL OPPORTUNITY & PRIVACY
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: United States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico
Workplace: Remote
Location: Fully Remote (Pacific time zone)
Start Date: ASAP
Languages: Fluent English required
Industry: AI / Data Infrastructure
Team: Sales
Type: Full-time (Independent Contractor)
ABOUT THE OPPORTUNITY
Pragmatike is hiring an Outbound Account Executive on behalf of a fast-growing AI company building reliable, fair and open infrastructure for AI training data.
Its marketplace connects data providers with leading AI companies, including startups, Fortune 500 companies and frontier AI labs. Backed by leading venture investors, including Y Combinator, the company is scaling rapidly and building its commercial team from the ground up.
This is an opportunity to join as one of the first commercial hires and take ownership of deals from the first serious conversation through to close. You'll manage a pipeline of data-provider opportunities, lead commercial discussions, negotiate terms and turn qualified interest into signed agreements and live listings that match current buyer demand.
Unlike an entry-level sales development role, this position requires someone who can independently manage opportunities, drive negotiations and take responsibility for closing deals.
The role is fully remote, with working hours aligned with either Singapore or US Pacific business hours, depending on your location. The exact daily schedule will be agreed during hiring.
WHAT YOU'LL DO
- Own a pipeline of data-provider opportunities, managing qualification, follow-ups, forecasting and deal closure.
- Lead commercial conversations with businesses and individuals who have data that AI buyers are looking for.
- Drive opportunities from initial interest through negotiations, signed agreements and completed, live listings.
- Negotiate scope, pricing and commercial terms, with support from senior teammates on technical assessments and contract-related questions.
- Prioritise opportunities based on current buyer demand, focusing on accounts with the highest potential to close.
- Maintain accurate pipeline records, including deal stages, expected close dates, risks and next steps.
- Work closely with Sales Development to ensure qualified opportunities and warm introductions progress smoothly through the sales cycle.
- Help establish the company's sales process and playbook as one of its first commercial hires.
WHAT WE'RE LOOKING FOR
- Proven experience owning and closing deals, ideally in B2B sales, marketplaces, data, SaaS or other commercial environments with structured sales cycles.
- Confidence leading discovery calls, commercial discussions and negotiations, handling objections and driving opportunities towards a close.
- Strong pipeline management skills, with the ability to prioritise opportunities, forecast accurately and maintain clear next steps.
- Excellent spoken and written English, with the ability to communicate confidently with senior and technical stakeholders.
- Ability to work independently and take ownership in a fast-moving, early-stage environment.
- Familiarity with sales tools and CRM systems, with a proactive approach to improving commercial processes.
- Experience with contracts, pricing discussions or multi-stakeholder deals is a plus.
- Previous experience in AI or the data industry is beneficial but not required.
WHY THIS OPPORTUNITY
- Own the full sales cycle: Take responsibility for opportunities from qualification through negotiation and close, with a focus on measurable commercial results.
- Build from the ground up: Join one of the first commercial hires and help establish the company's sales processes and playbook.
- Work with leading AI companies: Close deals that support real data demand from some of the world's most advanced AI labs.
- High ownership and impact: Work closely with senior teammates and founders, helping shape how the company approaches sales as it scales.
- Remote flexibility: Work fully remotely, aligned with either Singapore or US Pacific business hours depending on your location.
EQUAL OPPORTUNITY & PRIVACY
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: San Francisco; Colombia; Canada; Costa Rica; United States; Peru; Mexico
Workplace: Remote
Location: Fully Remote (US Pacific Time Zone: United States, Canada, Mexico, Colombia, Peru, Costa Rica)
Start Date: ASAP
Languages: Fluent English required
Industry: AI / Data Infrastructure
Team: Sales
Type: Full-time (Independent Contractor)
ABOUT THE OPPORTUNITY
Pragmatike is hiring a Sales Development Representative (SDR) on behalf of a fast-growing AI company building reliable, fair and open infrastructure for AI training data.
Its marketplace connects data providers with leading AI companies, including startups, Fortune 500 companies and frontier AI labs. Backed by leading venture investors, including Y Combinator, the company is scaling rapidly and building its commercial team from the ground up.
This is an opportunity to join as one of the first sales hires, helping establish the outbound motion and generate new supply for the platform. You'll focus on identifying and contacting potential data providers, explaining the value of listing on the marketplace, and turning initial conversations into qualified, complete listings.
This is a hands-on, high-volume outreach role, ideal for someone motivated, persistent and eager to build a career in sales. Previous sales experience is welcome but not required.
The position is fully remote, with working hours aligned with US Pacific business hours. Candidates must be based within approximately three hours of San Francisco time.
WHAT YOU'LL DO
- Identify and contact potential data providers through cold calls, emails and LinkedIn outreach.
- Explain how the platform works, communicate its value to potential providers and handle initial questions and objections.
- Follow up consistently with interested prospects and guide them through registration and listing submission.
- Collect the information required to create complete and qualified listings, helping providers throughout the process.
- Manage prospect records, track conversations and maintain clear follow-up notes and next steps.
- Meet agreed daily outreach targets and weekly targets for completed listings aligned with current buyer demand.
- Hand over qualified listings to the commercial team, ensuring a smooth and organised process.
WHAT WE'RE LOOKING FOR
- Strong spoken and written English, with confidence communicating over the phone.
- Persistence, resilience and motivation to work in a high-volume cold-calling environment.
- Strong organisational skills and the ability to manage multiple conversations and follow-ups.
- Comfort using sales tools such as Clay and Apollo, and openness to feedback and continuous improvement.
- A proactive mindset, strong work ethic and genuine interest in building a career in sales.
- Previous experience in telesales, call centres, appointment setting, customer support or recruitment is a plus, but not required.
- Interest in technology, AI or data is a plus. Technical knowledge or coding experience is not necessary.
We're open to career changers and motivated candidates from different backgrounds. Learning potential, persistence and the right attitude matter more than years of experience.
WHY THIS OPPORTUNITY
- Build from the ground up: Join among the first commercial hires and help establish the company's outbound sales motion.
- Develop your sales skills: Gain hands-on experience in prospecting, cold calling, objection handling and lead qualification, with training, scripts and regular feedback.
- Work with leading AI companies: Contribute to a marketplace serving some of the world's most advanced AI labs and businesses.
- Grow with the company: Take on more responsibility as you develop your skills and deliver results.
- Fully remote: Work from an approved location, aligned with US Pacific business hours.
EQUAL OPPORTUNITY & PRIVACY
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: Brazil; Argentina; Colombia; Mexico; Chile; Costa Rica
Subject Matter Expert - Infrastructure as Code & DevOps Automation
Position Summary
We seek an experienced IT Automation Specialist to lead infrastructure automation initiatives across our enterprise environment. As a subject matter expert, you will design, implement, and maintain scalable automation solutions using industry-leading tools including Terraform, OpenTofu, Ansible, AWX/Tower, and advanced DevOps platforms. This role combines hands-on technical expertise with strategic thinking to drive infrastructure modernization and operational efficiency.
Key Responsibilities
Design and implement Infrastructure as Code (IaC) solutions using Terraform and OpenTofu for cloud and on-premises infrastructure provisioning
Develop and maintain Ansible playbooks and roles for configuration management, application deployment, and system patching across heterogeneous environments
Architect and optimize Ansible Tower/AWX implementations for enterprise-scale automation, including RBAC, credential management, and workflow orchestration
Lead adoption of agentic AI capabilities to automate decision-making processes and reduce manual operational overhead
Establish the best automation practices, standards, and frameworks; conduct code reviews for infrastructure automation projects
Troubleshoot and resolve complex automation issues; provide technical documentation for knowledge transfer to other teams
Integrate automation solutions with CI/CD pipelines, monitoring systems, and ticketing platforms
Document technical architecture, runbooks, and operational procedures for all automation systems
Evaluate and recommend new automation tools and technologies that improve efficiency and reduce operational risk
Collaborate with cross-functional teams (Cloud, Infrastructure, Security) to embed automation across IT operations
Requirements
Required Qualifications
5+ years of IT infrastructure and systems administration experience
Expert-level proficiency with Terraform and/or OpenTofu; demonstrated ability to manage complex infrastructure states
Advanced expertise in Ansible; proven experience in designing and maintaining Ansible Tower or AWX in production environments
Strong Python programming skills; ability to write custom modules, plugins, and automation scripts
Deep understanding of DevOps principles, CI/CD pipelines, and infrastructure-as-code best practices
Experience with public cloud platforms (Azure, GCP) and hybrid/on-premises infrastructure
Knowledge of version control systems (Git) and collaborative development workflows
Strong troubleshooting and problem-solving abilities with demonstrated experience resolving production incidents
Excellent communication skills; ability to translate complex technical concepts for non-technical stakeholders
Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience
Preferred Qualifications
Hands-on experience implementing and managing agentic AI solutions for IT operations automation
Experience with advanced Ansible Tower features (workflows, dynamic inventory, LDAP/SAML integration)
Familiarity with configuration management databases (CMDB) and ServiceNow integrations
Knowledge of GitOps methodologies and tools (ArgoCD, Flux)
Certifications such as HashiCorp Certified Terraform Associate, Ansible Specialist, or equivalent cloud/infrastructure certifications
Open-source project contributions or demonstrated thought leadership in the infrastructure automation community
Technical Skills Matrix
IaC: Terraform, OpenTofu, CloudFormation | Expert
Config Management: Ansible, Ansible Tower, AWX | Expert
Agentic AI: LLM orchestration, AI-driven automation, prompt engineering | Intermediate+
Languages: Python, Bash, Go, HCL, PowerShell | Advanced
Cloud: AWS, Azure, GCP, hybrid infrastructure | Advanced
Languages: Python, Bash, Go, HCL, PowerShell | Advanced
Why This Role Matters
Automation is at the heart of our IT modernization strategy. In this role, you'll drive repeatability, reduce manual toil, and enable self-service capabilities across our infrastructure. You'll work with cutting-edge technologies including emerging agentic AI solutions, and your expertise will directly impact how efficiently we deliver infrastructure services to our clients.
Equal Opportunity Statement
We are an equal opportunity employer committed to fostering an inclusive, supportive workplace free from discrimination. We celebrate diversity and are dedicated to creating an environment where all employees feel valued and respected
Location: Brazil; Mexico; Colombia; Costa Rica; Israel; Albania
Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model — from design and manufacturing to sales, delivery, and installation.
We are strengthening our commercial function and looking for a
CRM & Sales Operations Manager
to own the CRM, the sales process and data quality across the full funnel, from first contact to order handover. This is a hands-on, senior individual contributor role with no direct reports.
Employment Type:
Full-time 8.30 am - 5 pm, NY (EST zone).
Remote work.
B2B contract (sole proprietorship status or corporate entity).
Key responsibilities:
CRM setup and process design
Personally configure CRM fields, stages, reports and automation; scope complex changes and integrations for developers and test them before release.
Define rules for each stage: goal, entry and exit criteria, required data and next steps.
Set ownership at each stage and at handover, and agree SLAs for response time and escalation.
Process control and data quality
Audit deals to check that CRM stages and next steps match actual client communication.
Monitor overdue tasks, stalled deals, missing next steps and missing loss reasons.
Keep CRM data accurate and resolve recurring issues with team leads.
Training
Write short CRM instructions and train sales reps and team leads to manage deals correctly, including after every change.
Reporting and analytics
Build funnel reports and dashboards: conversion by stage, stage duration, loss reasons and SLA adherence.
Measure the impact of process changes and share data with sales leadership and the Sales Effectiveness Manager.
Automation and AI
Use AI to analyze CRM data and prepare next actions for reps, with human review before anything reaches a client.
Build AI workflows for the sales team and maintain AI agents and bots connected to the CRM.
Requirements
The core of this role is hands-on CRM administration and sales process design.
5+ years of experience in CRM administration, sales operations or revenue operations, including owning the CRM and sales processes, not only supporting them.
Hands-on CRM setup (HubSpot, Salesforce or similar): fields, stages and permissions.
Hands-on experience bringing AI into a sales team’s daily work, from building to measuring results.
Understanding of the full sales cycle, from first contact to order handover.
Experience designing deal stages, handover rules and SLAs.
Experience automating deal workflows and writing requirements for integrations.
Experience fixing CRM data issues and building sales reports personally.
Strong analytical skills and careful conclusions from data.
Experience training sales reps to work correctly in the CRM.
Experience driving change through team leads without direct authority; strong team player.
Fluent English (C1/C2)
Nice to have
Setting up or migrating a CRM from scratch.
Experience with a complex physical product with a long sales cycle.
Benefits
Competitive base salary + performance-based bonuses.
Full ownership of the CRM and sales operations in a fast-growing U.S. company, with the freedom to build them the right way.
Direct influence on how the sales process runs, with data that leadership relies on.
Hands-on work with automation and AI in real sales processes.
Joining a highly professional and dynamic team.
Exciting experience working with prestigious clients in the US market.
Location: San José, Costa Rica
Teach English Online!
Stable Class Hours = Stable Income
Fixed Student & Teacher pairing
Long-term employment only! (1 year+)
About YiYiEnglish:
Since 2017, YiYiEnglish has been providing high quality English lessons to students in China. Our goal is to provide an excellent, accessible educational opportunity to our students. If you’re a qualified teacher who has a passion for teaching, you’ve found the perfect place!
Working With YiYiEnglish:
YiYiEnglish puts the upmost care and attention to our teachers. We will be alongside you every step of the way from the application process to our boot camp to your very first student and beyond. Our business practice requires close collaboration with teachers, so you’ll have your own dedicated associate to ask questions to, receive feedback from, and to discuss student related topics.
All of our students subscribe to a regular schedule. This means that our teachers will have a consistent schedule that will be stable throughout your contract with us. This will allow teachers to build relationships with their students to better understand their strengths, weaknesses, learning styles, and interests in order to provide the best learning outcomes possible. Regular students also provides teachers with financial security since your weekly schedule will be consistent and reliable. Because of our model of pairing students with teachers, all of our teachers need to have stable, fixed schedules throughout your contract with us. No more stressing about your schedule each day!
Teaching Philosophy:
Learning matters, it’s important. Educational progress, development, and success are a priority at YiYiEnglish. We genuinely care whether students learn, hone, and master English. We understand the burden of responsibility of introducing young students to English. It’s our collective responsibility to provide our students with a warm, caring, and judgement free learning space so they can develop a love for English. If done properly, the impact that we can make on our student’s lives can be consequential and life changing. If you share our passion for teaching then YiYiEnglish is the perfect place for you!
Who We’re Looking For:
YiYiEnglish relies on our teachers to exemplify our teaching philosophy. We want teachers who genuinely care about their students. We want teachers who take their work seriously and who can show that they are responsible and passionate teachers.
Native or near native pronunciation
Great communication skills
Commitment to responsibility
Experience working in English as a Second Language (ESL/TESL) preferred
High-speed internet connection
Access to a HD camera and mic
Bachelors degree
TEFL/TESOL/CETL or equivalent
[REQUIRED] Fixed schedule for a minimum of 6 months
Our Application Process:
Complete your online job application.
Complete an initial set of video questions.
Conduct a live demo lesson to showcase your skills.
Sign a contract and start teaching!
Cartago, Costa Rica
УдалённоJamaica; Ethiopia; Mexico; Chile; Costa Rica; Dominican Republic
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоUnited States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico; Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones); Clear written and spoken English, and comfort collaborating remotely across time zones
УдалённоUnited States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico; Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones); Clear written and spoken English, and comfort collaborating across teams and time zones
Paris, France; London, United Kingdom; Lisbon, Portugal; Milan, Italy; Rome, Italy; Berlin, Germany; Athens, Greece; Barcelona, Spain; Bari, Italy; Split, Croatia; Copenhagen, Denmark; Oslo, Norway; Tallinn, Estonia; Lima, Peru; Limassol, Cyprus; Budapest, Hungary; Florence, Italy; Amsterdam, Netherlands; Stockholm, Sweden; Warsaw, Poland; Kraków, Poland; Lublin, Poland; Opole, Poland; A Coruña, Spain; Aachen, Germany; Aalborg, Denmark; Aarhus, Denmark; Aberdeen, United Kingdom; Alanya, Türkiye; Algarve, Portugal; Loulé, Portugal; Alicante, Spain; Andijan, Uzbekistan; Amstetten, Austria; Ankara, Türkiye; Almería, Spain; Antalya, Türkiye; Antipolo, Philippines; Ariana, Tunisia; Aracaju, Brazil; Antwerp, Belgium; Arequipa, Peru; Asenovgrad, Bulgaria; Ashgabat, Turkmenistan; Asunción, Paraguay; Auckland, New Zealand; Augsburg, Germany; Austin, United States; Amadora, Portugal; Almaty, Kazakhstan; Alajuela, Costa Rica; Badajoz, Spain; Badgastein, Austria; Bamberg, Germany; Basel, Switzerland; Batumi, Georgia; Batam, Indonesia; Bedford, United Kingdom; Belgrade, Serbia; Bengaluru, India; Bern, Switzerland; Birmingham, United Kingdom; Bordeaux, France; Bologna, Italy; Braga, Portugal; Brașov, Romania; Bray, Ireland; Brixen, Italy; Seoul, South Korea; Bydgoszcz, Poland; Caen, France; Čačak, Serbia; Caieiras, Brazil; Cairo, Egypt; Campinas, Brazil; Carapicuiba, Brazil; Capiatá, Paraguay; Cascais, Portugal; Catania, Italy; Cebu City, Philippines; Celje, Slovenia; Cardiff, United Kingdom; České Budějovice, Czechia; Chelyabinsk, Russia; Chiclayo, Peru; Chișinău, Moldova; Christchurch, New Zealand; Cookstown, United Kingdom; Conlig, United Kingdom; Córdoba, Argentina; Cork, Ireland; Cotia, Brazil; Craiova, Romania; Crete, Greece; Cusco, Peru; Daegu, South Korea; Damascus, Syria; Darmstadt, Germany; Debrecen, Hungary; Derby, United Kingdom; Dubai, United Arab Emirates; Dublin, Ireland; Düsseldorf, Germany; Edirne, Türkiye; Edinburgh, United Kingdom; Eindhoven, Netherlands; Eisenstadt, Austria; Essen, Germany; Faro, Portugal; Frankfurt, Germany; Fortaleza, Brazil; Freiburg, Germany; Gdańsk, Poland; Gebele, Azerbaijan; Gaziantep, Türkiye; Ganja, Azerbaijan; Geneva, Switzerland; George Town, Malaysia; Gothenburg, Sweden; Goiânia, Brazil; Glasgow, United Kingdom; Graz, Austria; Girona, Spain; Gurugram, India; Gyumri, Armenia; Hamilton, New Zealand; Haiphong, Vietnam; Hamburg, Germany; Île-de-France, France; Innsbruck, Austria; Ingolstadt, Germany; Johannesburg, South Africa; Kandy, Sri Lanka; Kano, Nigeria; Karpacz, Poland; Kardzali, Bulgaria; Karachi, Pakistan; Kaunas, Lithuania; Katowice, Poland; Kerpen, Germany; Khon Kaen, Thailand; Kičevo, North Macedonia; Klagenfurt am Wörthersee, Austria; Konak, Türkiye; Klang, Malaysia; Konya, Türkiye; Kraljevo, Serbia; Kragujevac, Serbia; Krasnoyarsk, Russia; Krasnodar, Russia; Krushevo, North Macedonia; Ksamil, Albania; Kyiv, Ukraine; Kumanovo, North Macedonia; Kufstein, Austria; Kutaisi, Georgia; Kyustendil, Bulgaria; La Chorrera, Panama; La Plata, Argentina; Larissa, Greece; Larnaca, Cyprus; Lankaran, Azerbaijan; Leeds, United Kingdom; Nicosia, Cyprus; Lefke, Cyprus; Leicester, United Kingdom; Leibnitz, Austria; Leoben, Austria; Leon, Mexico; Limbourg, Belgium; Liepāja, Latvia; Limerick, Ireland; Linz, Austria; Liverpool, United Kingdom; Ljubljana, Slovenia; Łódź, Poland; Luang Prabang, Laos; Madrid, Spain; Maceió, Brazil; Maastricht, Netherlands; Lyon, France; Lviv, Ukraine; Malacca, Malaysia; Málaga, Spain; Manaus, Brazil; Manchester, United Kingdom; Manila, Philippines; Maracaibo, Venezuela; Marbella, Spain; Maribor, Slovenia; Marrakech, Morocco; Marseille, France; Medellín, Colombia; Melbourne, Australia; Milpitas, United States; Metropolitan City of Naples, Italy; Miskolc, Hungary; Monaghan, Ireland; Mumbai, India; Munich, Germany; Nairobi, Kenya; Namangan, Uzbekistan; Newcastle upon Tyne, United Kingdom; New York, United States; New Taipei City, Taiwan; Nice, France; Niš, Serbia; Novosibirsk, Russia; Nyíregyháza, Hungary; Oeiras, Portugal; Ohrid, North Macedonia; Ostrava, Czechia; Osaka, Japan; Omsk, Russia; Panama City, Panama; Palermo, Italy; Paphos, Cyprus; Pasto, Colombia; Passau, Germany; Patras, Greece; Pattaya City, Thailand; Pécs, Hungary; Pereira, Colombia; Petaling Jaya, Malaysia; Pforzheim, Germany; Phoenix, United States; Phu Quoc, Vietnam; Phuket, Thailand; Pilsen, Czechia; Porto, Portugal; Porto Alegre, Brazil; Plovdiv, Bulgaria; Poznań, Poland; Prague, Czechia; Pristina, Kosovo; Quezon City, Philippines; Puente Alto, Chile; Rangpur, Bangladesh; Rawalpindi, Pakistan; Recife, Brazil; Regensburg, Germany; Rennes, France; Reus, Spain; Riga, Latvia; Rosenheim, Germany; Rotterdam, Netherlands; Ruhr, Germany; Saint Pölten, Austria; Saint-Étienne, France; Saint-Tropez, France; Shanghai, China; Sheffield, United Kingdom; Shenzhen, China; Sibiu, Romania; Sidon, Lebanon; Sintra, Portugal; Sofia, Bulgaria; Stara Zagora, Bulgaria; Strumica, North Macedonia; Stuttgart, Germany; Suzano, Brazil; Sveta Nedelja, Croatia; Swansea, United Kingdom; Sydney, Australia; Taichung City, Taiwan; Taipei City, Taiwan; Tainan City, Taiwan; Tartu, Estonia; Taoyuan City, Taiwan; Tbilisi, Georgia; Tel Aviv-Yafo, Israel; Tehran, Iran; The Hague, Netherlands; Thun, Switzerland; Tirana, Albania; Tokyo, Japan; Tijuana, Mexico; Toulouse, France; Tripoli, Lebanon; Trujillo, Peru; Turin, Italy; Ulm, Germany; Utrecht, Netherlands; Valencia, Spain; Valletta, Malta; Venice, Italy; Verona, Italy; Vienna, Austria; Vilnius, Lithuania; Vĩnh Phúc, Vietnam; Washington, United States; Wiesbaden, Germany; Würzburg, Germany; Xi'An, China; Yerevan, Armenia; Yokohama, Japan; Zagreb, Croatia; Zadar, Croatia; Zaragoza, Spain; Zürich, Switzerland; Brno, Czechia; Adelaide, Australia; Baku, Azerbaijan; Belfast, United Kingdom; Bergen, Norway; Birkirkara, Malta; Bratislava, Slovakia; Bruges, Belgium; Brussels, Belgium; Bucharest, Romania; Burgas, Bulgaria; Cluj-Napoca, Romania; Cologne, Germany; Constanța, Romania; Coventry, United Kingdom; Daugavpils, Latvia; Dnipro, Ukraine; Dresden, Germany; Galway, Ireland; Genoa, Italy; Ghent, Belgium; Hanover, Germany; Helsinki, Finland; Heraklion, Greece; Iași, Romania; İstanbul, Türkiye; Kazan, Russia; Kharkiv, Ukraine; Košice, Slovakia; Leipzig, Germany; Lille, France; Malmö, Sweden; Moscow, Russia; Nantes, France; Naples, Italy; Newcastle, United Kingdom; Nizhny Novgorod, Russia; Novi Sad, Serbia; Nuremberg, Germany; Pljevlja, Montenegro; Podgorica, Montenegro; Saint Petersburg, Russia; Salzburg, Austria; Samara, Russia; San Marino; Sarajevo, Bosnia and Herzegovina; Seville, Spain; Skopje, North Macedonia; Sliema, Malta; Abu Dhabi, United Arab Emirates; Alexandria, Egypt; Avignon, France; Bắc Ninh, Vietnam; Baghdad, Iraq; Bali, Indonesia; Bangkok, Thailand; Bangor, United Kingdom; Barranquilla, Colombia; Bayreuth, Germany; Beijing, China; Beirut, Lebanon; Belém, Brazil; Benin City, Nigeria; Binh Duong, Vietnam; Boston, United States; Newport, United Kingdom; Los Angeles, United States; San Francisco, United States
УдалённоUnited States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico; Location: Fully Remote (Pacific time zones)
УдалённоUnited States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico; Location: Fully Remote (Pacific time zone)
УдалённоSan Francisco; Colombia; Canada; Costa Rica; United States; Peru; Mexico; Sales Development Representative (SDR) (Pacific Time Zone); Location: Fully Remote (US Pacific Time Zone: United States, Canada, Mexico, Colombia, Peru, Costa Rica); Candidates must be based within approximately three hours of San Francisco time; We're open to career changers and motivated candidates from different backgrounds
УдалённоBrazil; Argentina; Colombia; Mexico; Chile; Costa Rica
УдалённоBrazil; Mexico; Colombia; Costa Rica; Israel; Albania