Pragmatike

Location: Singapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania 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, 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: Singapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania 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: 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: New York; FR | Paris; Toronto; Dubai Workplace: OnSite Location: On-site (New York, Dubai, Paris or Toronto) Start Date: ASAP Languages: English Industry/Type: Luxury Hospitality / Digital Product & Content ABOUT THE OPPORTUNITY Our client is a global leader in luxury hospitality, with a portfolio of premium and luxury hotel brands and a growing direct-to-guest e-commerce and digital experience business. Guests discover, book and stay connected with the brands through owned websites and apps, a loyalty programme, and third-party travel channels. They are hiring on-site luxury e-commerce and digital teams in New York, Dubai, Paris and Toronto. We are looking for a Content and Product Manager — a hybrid role at the intersection of digital product management, UX and premium content lifecycle management. You will own both the functional roadmap and the storytelling engine across the company's luxury brand platforms, so product improvements and content stay aligned with commercial booking targets and with a strict luxury brand identity. You will work on-site in one of the locations above, connecting global brand executives, on-property digital teams, copywriters and engineering. WHAT YOU'LL DO - Define, prioritise and manage the digital feature backlog for web and mobile touchpoints, aligning UX upgrades with commercial booking targets. - Oversee regional content workflows, localisation and asset deployment, so imagery and copy strictly match luxury brand identity. - Guide product designers on digital layouts that elevate high-yield property dimensions, such as premium suites, fine dining and wellness features. - Use ContentSquare, GA4 and A/B testing to analyse user friction, isolate booking drop-offs, and refine text and image layouts based on behaviour. - Act as the central translator between global brand executives, on-property digital teams, copywriters and agile engineering squads. - Keep product delivery and content operations in one plan, so new features launch with the right stories, assets and brand voice. WHAT WE'RE LOOKING FOR - At least 5–7 years' experience that mixes product delivery and digital content management, preferably in high-end hospitality, premium airlines or luxury consumer retail. - Deep working knowledge of enterprise CMS suites (Adobe Experience Manager preferred), agile project trackers (Jira and Confluence) and enterprise analytics. - A strong grasp of software delivery flows, matched with a refined eye for high-end digital design and brand voice. - Experience running or partnering on CRO and A/B testing, and using behavioural data (for example ContentSquare and GA4) to improve layouts and booking performance. - Clear spoken and written English, and the confidence to align senior brand, property and engineering stakeholders. French or Arabic is an advantage depending on location. - Experience with localisation and multi-market content workflows is a plus. WHY THIS ROLE MATTERS FOR YOU - Product and content in one seat: You will own the roadmap and the storytelling, rather than handing one of them off. - Luxury storytelling with commercial targets: Shape how suites, dining and wellness are presented, with a clear line to booking performance. - Data-informed design: Use analytics and testing to decide what changes, not only brand instinct. - A central stakeholder role: You will be the translator between brand leadership, properties, writers and engineering. - On-site in a major market: Based in New York, Dubai, Paris or Toronto, close to the luxury platforms and teams you will represent. 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: New York; FR | Paris; Toronto; Dubai Workplace: OnSite Location: On-site (New York, Dubai, Paris or Toronto) Start Date: ASAP Languages: English Industry/Type: Luxury Hospitality / Digital Experience ABOUT THE OPPORTUNITY Our client is a global leader in luxury hospitality, with a portfolio of premium and luxury hotel brands and a growing direct-to-guest e-commerce and digital experience business. Guests discover, book and stay connected with the brands through owned websites and apps, a loyalty programme, and third-party travel channels. They are hiring on-site luxury e-commerce and digital teams in New York, Dubai, Paris and Toronto. We are looking for a Digital Experience Specialist to improve the end-to-end digital guest journey on the company's premium brand platforms. This role balances strict luxury brand standards with data-led work to raise conversion, improve retention and remove friction in web and mobile booking. We are hiring at two levels on the same remit. As a Manager, you will set digital-experience priorities, lead CRO and brand-governance work, and may supervise Digital Specialists or agency partners on day-to-day content operations. As a Specialist, you will be a hands-on individual contributor, executing experience improvements, analytics and operational content support. The level will be confirmed during hiring, based on your experience. You will work on-site in one of the locations above, as a bridge between global brand managers, regional hotels and digital engineering teams. WHAT YOU'LL DO - Map and launch user-experience improvements on web and mobile, with a clear focus on conversion-rate optimisation (CRO). - Measure digital performance and guest friction using tools such as ContentSquare, GA4 and Tableau, and turn findings into concrete experience changes. - Act as a bridge between global brand managers, regional hotels and digital engineering, so experience work is commercially useful and operationally realistic. - Maintain pixel-perfect compliance with premium brand guidelines across web assets and content properties. - Depending on level: supervise internal Digital Specialists or external agency vendors delivering day-one operational content support, or execute that operational work yourself as a Specialist. - Prioritise a backlog of experience fixes and tests that reduce booking friction and support retention. WHAT WE'RE LOOKING FOR - At least 5–7 years' experience managing or delivering e-commerce, digital product experiences or digital marketing, ideally in luxury travel, aviation or high-end consumer brands. (Manager-level candidates will typically have led programmes or people; Specialist-level candidates will be strong individual contributors with the same domain depth.) - Hands-on experience with enterprise CMS tools, such as Adobe Experience Manager, and with analytics suites (ContentSquare, GA4 and/or Tableau). - A numerical, test-and-learn mindset, with comfort operating in Agile ways of working. - A genuine appreciation for luxury aesthetic standards and the discipline to protect brand quality in digital execution. - Clear spoken and written English, and the confidence to work with brand, hotel and engineering stakeholders. French or Arabic is an advantage depending on location. - Experience in luxury hospitality, premium travel or high-end retail e-commerce is a strong plus. WHY THIS ROLE MATTERS FOR YOU - Shape the booking experience: You will work on the journey that takes a guest from interest to a completed booking on flagship luxury brand platforms. - Brand standards, backed by data: Combine pixel-perfect luxury guidelines with CRO, analytics and structured testing. - A bridge across the organisation: Work with global brand teams, regional hotels and engineering, not in a silo. - Manager or Specialist path: Join at the level that matches your experience, with a clear remit in either case. - On-site in a major market: Based in New York, Dubai, Paris or Toronto, close to the brands and markets you will support. 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: New York; FR | Paris; Toronto; Dubai Workplace: OnSite Location: On-site (New York, Dubai, Paris or Toronto) Start Date: ASAP Languages: English Industry/Type: Luxury Hospitality / Digital Experience ABOUT THE OPPORTUNITY Our client is a global leader in luxury hospitality, with a portfolio of premium and luxury hotel brands and a growing direct-to-guest e-commerce and digital experience business. Guests discover, book and stay connected with the brands through owned websites and apps, a loyalty programme, and third-party travel channels. They are hiring on-site luxury e-commerce and digital teams in New York, Dubai, Paris and Toronto. We are looking for a Digital Experience Manager to improve the end-to-end digital guest journey on the company's premium brand platforms. This role balances strict luxury brand standards with data-led work to raise conversion, improve retention and remove friction in web and mobile booking. We are hiring at two levels on the same remit. As a Manager, you will set digital-experience priorities, lead CRO and brand-governance work, and may supervise Digital Specialists or agency partners on day-to-day content operations. As a Specialist, you will be a hands-on individual contributor, executing experience improvements, analytics and operational content support. The level will be confirmed during hiring, based on your experience. You will work on-site in one of the locations above, as a bridge between global brand managers, regional hotels and digital engineering teams. WHAT YOU'LL DO - Map and launch user-experience improvements on web and mobile, with a clear focus on conversion-rate optimisation (CRO). - Measure digital performance and guest friction using tools such as ContentSquare, GA4 and Tableau, and turn findings into concrete experience changes. - Act as a bridge between global brand managers, regional hotels and digital engineering, so experience work is commercially useful and operationally realistic. - Maintain pixel-perfect compliance with premium brand guidelines across web assets and content properties. - Depending on level: supervise internal Digital Specialists or external agency vendors delivering day-one operational content support, or execute that operational work yourself as a Specialist. - Prioritise a backlog of experience fixes and tests that reduce booking friction and support retention. WHAT WE'RE LOOKING FOR - At least 5–7 years' experience managing or delivering e-commerce, digital product experiences or digital marketing, ideally in luxury travel, aviation or high-end consumer brands. (Manager-level candidates will typically have led programmes or people; Specialist-level candidates will be strong individual contributors with the same domain depth.) - Hands-on experience with enterprise CMS tools, such as Adobe Experience Manager, and with analytics suites (ContentSquare, GA4 and/or Tableau). - A numerical, test-and-learn mindset, with comfort operating in Agile ways of working. - A genuine appreciation for luxury aesthetic standards and the discipline to protect brand quality in digital execution. - Clear spoken and written English, and the confidence to work with brand, hotel and engineering stakeholders. French or Arabic is an advantage depending on location. - Experience in luxury hospitality, premium travel or high-end retail e-commerce is a strong plus. WHY THIS ROLE MATTERS FOR YOU - Shape the booking experience: You will work on the journey that takes a guest from interest to a completed booking on flagship luxury brand platforms. - Brand standards, backed by data: Combine pixel-perfect luxury guidelines with CRO, analytics and structured testing. - A bridge across the organisation: Work with global brand teams, regional hotels and engineering, not in a silo. - Manager or Specialist path: Join at the level that matches your experience, with a clear remit in either case. - On-site in a major market: Based in New York, Dubai, Paris or Toronto, close to the brands and markets you will support. 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: New York; FR | Paris; Toronto; Dubai Workplace: OnSite Location: On-site (New York, Dubai, Paris or Toronto) Start Date: ASAP Languages: English Industry/Type: Luxury Hospitality / E-commerce ABOUT THE OPPORTUNITY Our client is a global leader in luxury hospitality, with a portfolio of premium and luxury hotel brands and a growing direct-to-guest e-commerce and digital experience business. Guests discover, book and stay connected with the brands through owned websites and apps, a loyalty programme, and third-party travel channels. They are hiring on-site luxury e-commerce and digital teams in New York, Dubai, Paris and Toronto. We are looking for an E-merchandising Associate to optimise how hotel rooms, amenities and packages are presented online. The aim is to maximise online revenue, increase direct web bookings, and strengthen digital visibility across the company's own booking channels and third-party online travel agencies (OTAs). This is a hands-on e-merchandising role. You will work on-site in one of the locations above, keeping the digital shelf accurate, visually strong and aligned with each brand's guidelines. WHAT YOU'LL DO - Manage the digital shelf: upload, organise and refresh digital assets — including room photography, virtual tours and service descriptions — so properties look exceptional online. - Coordinate with pricing and revenue-management teams so seasonal offers, promotions and packages display correctly. - Analyse user behaviour on hotel booking sites, remove friction in the booking path, and help turn lookers into bookers. - Partner with on-property or retail merchandise teams, where relevant, to keep online presentation aligned with on-site offers, inventory and tags. - Ensure listings adhere to regional and global visual and brand guidelines for the relevant luxury and premium brands. - Keep product and offer information current across direct channels and OTAs, and flag issues that could affect conversion or brand presentation. WHAT WE'RE LOOKING FOR - At least 5–7 years' experience in e-merchandising, e-commerce, digital shelf management or a closely related digital marketing role, ideally in hospitality, travel, luxury retail or a similarly visual, product-led environment. - Experience presenting products or services online — including assets, descriptions, rates or offers — and working with a CMS. - Comfort with basic Excel and web analytics, and with using data to improve conversion on a booking or product site. - A solid grasp of how hospitality or local travel markets work, including how direct channels and OTAs sit side by side. - Strong spoken and written English. Regional languages, such as Arabic, are a strong plus depending on location; French is also an advantage, particularly for Paris. - A sharp eye for visual quality and brand compliance, and the discipline to keep rates, promotions and content accurate. - A background in marketing, hospitality management or a related field is useful but not required if your e-merchandising experience is strong. WHY THIS ROLE MATTERS FOR YOU - Own how properties appear online: Your work on photography, descriptions, rates and offers will sit in front of guests at the moment they decide to book. - Direct revenue impact: The role is measured on online presentation, booking conversion and the quality of the digital shelf. - Luxury brands, global channels: Keep premium properties consistent and compelling across owned sites and major OTAs. - Hands-on e-commerce craft: Work daily with CMS, assets, pricing teams and analytics, not only with strategy decks. - On-site in a major market: Based in New York, Dubai, Paris or Toronto, close to the brand and commercial teams you will support. 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: Singapore; Philippines; Indonesia; Australia; Thailand; Khazakstan; Armenia Workplace: Remote Location: Fully Remote (Singapore time zone) 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 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: Singapore; Philippines; Indonesia; Australia; Thailand; Khazakstan; Armenia Workplace: Remote Location: Fully Remote (Singapore or Pacific time zones) 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.