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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: United States - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: As Senior Manager, Renewals at Chainguard, you will build and lead the team responsible for renewing our customer base across Commercial, Enterprise, and Public Sector. You will own the global renewal number, set the strategy and operating rhythm for the function, and develop a team of Renewal Managers who deliver predictable, on-time renewals and strong gross retention. This role sits at the intersection of Customer Success, Sales, Finance, and Ops. You will define how renewals are owned and handed off across CSMs, AEs, and Renewal Managers, partner with RevOps on forecasting and systems, and give leadership a clear, accurate view of renewal health and risk every week, while supporting Chainguard’s broader revenue and retention goals. You will be the leader and builder of the renewal function. Chainguard’s renewal team is still early, so you will define its structure, hire and develop its managers and Renewal Managers, and scale it across segments and regions as the business grows. Strong leadership, sound commercial judgment, and the ability to bring structure to a fast-changing environment are essential. What you’ll do: Team Leadership: Build and lead the global renewals organization across Commercial, Enterprise, and Public Sector, including hiring and developing team leads as the function grows, and setting clear books of business, expectations, and performance goals. Renewal Ownership: Own the global renewal forecast and gross retention targets, and serve as the executive escalation point for the highest-value and most at-risk renewals. Commercial Strategy: Set renewal pricing, discounting, uplift, and multi-year guidelines with Finance and Deal Desk, and drive policies such as co-terming add-ons with renewals. Forecasting & Reporting: Run a weekly renewal forecast cadence, hold the team to high CRM and forecasting standards, and report renewal health, risk, and churn trends to CS and revenue leadership. Cross-Functional Alignment: Define clear ownership and handoffs between Renewal Managers, CSMs, and AEs, and partner with RevOps on territories, capacity, compensation, and systems. Risk & Retention Strategy: Build early warning processes with Customer Success to surface risk 120+ days out, and lead save plans on critical accounts. Process & Playbooks: Build segment-specific renewal playbooks, including public sector fiscal year planning and enterprise executive engagement, and continuously improve on-time renewal rates. What we're looking for: 8+ years of experience in B2B SaaS renewals, account management, or customer success, including 4+ years leading renewal or account management teams, ideally with experience managing managers. Proven ownership of a renewal or retention number, with a track record of improving gross retention and forecast accuracy. Experience leading renewals across multiple segments, ideally including enterprise and public sector. Strong commercial judgment, with experience setting pricing, discounting, and contract policy with Finance and Deal Desk. Experience building renewal processes, playbooks, and reporting from the ground up in a scaling organization. Deep familiarity with Salesforce and forecasting tools such as Clari. Ability to influence and align senior stakeholders across Sales, Customer Success, Finance, and Ops. High emotional intelligence, strong communication skills, and a proactive, problem-solving mindset. Ability to operate with full autonomy in a fast-paced, evolving environment and set direction for a function, not just execute within one. Strongly Preferred : Experience designing renewal compensation plans and capacity models Experience in a high-growth or early-stage startup environment Familiarity with security, DevSecOps, or developer-focused products Passion for technology and cybersecurity Pay Range: Up to $230,500 70/30 OTE If your experience is close, but doesn’t fulfill all requirements, please apply . Chainguard is on a mission to build the best team. To achieve our goal, we are focused on hiring Chainguardians with unique backgrounds, perspectives, and experiences. About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

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 - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: As a Renewal Manager, Commercial at Chainguard, you will play a crucial role in ensuring the retention and long-term success of our Commercial segment. You will own the renewal process for a defined book of business, managing contract renewals from initial outreach through close while delivering a thoughtful, value-driven customer experience. This role sits at the intersection of Customer Success, Sales, and Ops. By owning renewals, you enable Customer Success to focus on adoption and outcomes, and Sales to focus on expansion and new business. Your work ensures renewal conversations are timely, relevant, and aligned to customer value, while supporting Chainguard’s broader revenue and retention goals. You will act as a trusted partner to customers, guiding them through renewal conversations with clarity, empathy, and confidence. Attention to detail, comfort with negotiation, and strong cross-functional collaboration are essential, as you will manage a high volume of renewals while balancing customer needs with business objectives. What you’ll do: Renewal Management: Own the end-to-end renewal process for a portfolio of commercial customers, driving on-time renewals through proactive planning, customer engagement, and negotiation. Commercial Execution: Generate renewal quotes, lead pricing and contract negotiations, and coordinate with Finance, Legal, and Deal Desk to ensure accurate and timely contract execution. Forecasting & CRM Hygiene: Maintain accurate renewal data in CRM, including forecasts, risks, and renewal status, to provide clear visibility and predictable outcomes. Risk & Retention Strategy: Identify renewal risks early and collaborate cross-functionally to mitigate churn and improve gross retention. Process & Playbooks: Develop and refine renewal playbooks and operating processes to increase efficiency and improve on-time renewal rates. What we're looking for: 2+ years of experience in B2B SaaS in renewals, customer success, account management, or sales, with direct ownership of customer contracts and commercial conversations. Proven ability to drive renewals with predictability and deliver against gross retention targets. Experience negotiating pricing and contract terms while maintaining strong customer relationships. Strong project management and organizational skills, with the ability to manage multiple renewal cycles simultaneously. Comfort generating quotes, preparing order forms, and maintaining CRM hygiene, ideally in Salesforce. Ability to collaborate effectively with both technical and non-technical stakeholders. High emotional intelligence, strong communication skills, and a proactive, problem-solving mindset. Ability to operate with autonomy in a fast-paced, evolving environment and help build or improve processes where needed. Strongly Preferred : Experience in a high-growth or early-stage startup environment Familiarity with security, DevSecOps, or developer-focused products Passion for technology and cybersecurity Pay Range: Up to $167,000 70/30 OTE If your experience is close, but doesn’t fulfill all requirements, please apply . Chainguard is on a mission to build the best team. To achieve our goal, we are focused on hiring Chainguardians with unique backgrounds, perspectives, and experiences. About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Workplace: remote Requirements Min. 3 years of practical experience in carrying out complex data analyses with Python, including data preparation, data validation, and target-audience-appropriate preparation of the results Practical experience with SQL for querying, preparing, and integrating structured data (4 reference projects) Practical experience in processing infrastructure and geodata (1 reference project) Certification in a cloud-based data management solution (Databricks, Snowflake, Fabric) Knowledge of German at C1 level or above Knowledge of English at B2 level or above Nice to have In-depth knowledge of coordinate systems and coordinate transformations, demonstrated by a completed degree in mathematics or physics Experience with OCR methods for the automated extraction of structured data (1 reference project) Responsibilities Analysis of the provided geodata inventories, mast plates, and existing BIM data structures Analysis of the existing Python script as well as the current IFC model structure Assessment of additional infrastructure objects regarding their suitability for data enrichment and BIM modeling Technical coordination of the attributes and modeling parameters to be used Development and further development of data pipelines for automated data ingestion and data processing Integration of information from various data sources Processing of PDF documents including OCR-supported text recognition and table evaluation Transformation, validation, and cleansing of structured and unstructured data Design and optimization of suitable data models for storing and further processing the data Extraction of relevant information from mast plates Prototypical processing of the mast plates, including PDF/image preprocessing, OCR, table recognition, and plausibility checking Extraction of the agreed information and assignment to the matching objects in the geodata Flagging of unrecognized, ambiguous, or implausible information and provision of the enriched data in machine-readable form Ensuring traceable data quality and data integrity Development of methods for automated plausibility checking of the results Extension and adaptation of existing script components for automated IFC model generation Support in the parametric modeling of overhead line masts and other coordinated infrastructure components Integration of enriched data into existing BIM structures Creation and review of IFC output files with regard to technical validity and technical plausibility Conducting quality checks at the data, process, and modeling level Documentation of data structures, transformation logic, and validation rules Documentation of unresolvable data conflicts and special cases Creation of traceable technical documentation of the developed solution We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Anna hh@itransition.com

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.

Workplace: remote Requirements At least 5 years of experience in the Microsoft Power BI and Fabric ecosystem, especially in Power BI Service, Dataflows, Semantic Models, DAX, and M-Code Experience in implementing Microsoft Fabric artifacts such as Lakehouse, Notebooks, and Pipelines from at least 2 projects At least 5 years of experience in data modeling of star and snowflake schemas with dbt At least 5 years of experience in building and implementing data governance structures, especially standards, role and permission concepts, governance processes, and best practices for Self-Service Analytics Experience in using Azure DevOps in connection with Microsoft Fabric from at least one project German at native-speaker level Knowledge of English at B2 level or above Nice to have Experience in the environment of railway transport companies from at least one project At least 3 years of experience in building, further developing, and supporting data communities as well as promoting Self-Service Analytics approaches Responsibilities Design, implementation, and operation of analytical data solutions using Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, Semantic Models) in line with client standards, security, and operational requirements Development and implementation of reports, dashboards, and analytical applications with Microsoft Power BI and Microsoft Fabric, including data modeling, DAX, visualization, and permission concepts Analysis, evaluation, and prototypical implementation of AI functionalities in Microsoft Fabric, e.g., for data analysis, data preparation, natural-language queries, forecasts, pattern recognition, and automated insight generation Consulting the business department in the analysis of complex requirements, the selection of suitable Fabric, Power BI, and AI functionalities, and the evaluation of technical implementation options Project management and coordination services in an agile project context, especially planning, prioritization, documentation, and tracking of requirements, tasks, risks, and dependencies Creation and maintenance of business and technical documentation on data sources, data models, transformation logic, reports, dashboards, AI use cases, permission concepts, and operational aspects Support of an MS Fabric and Power BI community Conducting enablement formats within the community for the business departments Building data models with the dbt framework We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Natalya hh@itransition.com

-5-6+ years of software engineering experience with strong hands-on Python, FastAPI, PostgreSQL DB, and microservices. -Strong experience designing AI architecture and building scalable production AI systems using LangChain/LangGraf, RAG, embeddings, reranking, and multi-agent workflows.

Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email address to access the portal. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: CPT-11729 Social Media Community Engagement & Outreach Virtual Assistant Independent Contractor – CPT-11729 Social Media Community Engagement & Outreach Virtual Assistant/Marketing VA/Entry-Junior Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. We are looking for a proactive and organized Social Media Community Engagement & Outreach VA to help increase the client’s visibility and build relationships within the local real estate community. The VA will focus primarily on engaging with relevant Facebook and Instagram posts, interacting with real estate professionals, and maintaining consistent, meaningful online activity. Content creation, research, and analytics will be secondary responsibilities. The ideal candidate is personable, professional, detail-oriented, and able to track and report daily activities accurately. The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: 1. Community Engagement and Interaction Monitor relevant local real estate posts, discussions, and community updates on Facebook and Instagram. Write meaningful, personalized, and professional comments that encourage conversations and build relationships. Engage with real estate agents, brokers, industry partners, and relevant community members to increase the client’s visibility. Prioritize genuine interactions and consistent daily engagement over content creation. Engage with local real estate professionals’ personal and business posts, including property listings, open houses, successful closings, birthdays, and other personal milestones. Write warm, conversational, and personalized comments that reflect the client’s personality and help the audience see the business as approachable and genuinely involved in the community. Participate in relevant community group discussions about mortgage financing, rental properties, church financing, and other real estate-related funding opportunities. Ensure comments are contextually appropriate and directly relevant to the post. Avoid generic, repetitive, or mismatched responses that could make the client appear inattentive or unprofessional. Prioritize authentic community presence and relationship-building rather than aggressive lead generation or sales-focused interactions. 2. Local Network Visibility and Relationship Building Identify and engage with relevant local real estate pages, groups, agents, and potential partners. Maintain an updated list of relevant sources for daily engagement and outreach. Respond to relevant comments and continue conversations when appropriate. Support the client’s visibility and relationship-building efforts within the local real estate community. Engage with real estate agents and trusted industry contacts already followed by the client, as well as relevant community groups where potential clients and industry members discuss real estate and financing concerns. Support visibility across the client's two business pages, which serve different markets: residential mortgage financing for primary homes and business-purpose financing for rental properties and other commercial properties. Identify relevant opportunities to interact with people discussing financing needs and invite them to contact the client privately for more information or a customized quote. Maintain a consistent, personable presence that reinforces the client's identity as a real person and an approachable mortgage professional within the local real estate community. 3. Social Media Monitoring and Content Execution Monitor the client’s Facebook and Instagram pages for comments, messages, and engagement opportunities as assigned. Create social media captions and simple graphics based on client-provided ideas, materials, and approved messaging when requested. Publish or schedule approved content according to instructions, deadlines, and posting schedules, prioritizing time-sensitive posts. Review content before publishing to ensure accuracy, relevance, professionalism, and compliance with client guidelines. Review the client's existing scheduled posts and published content, and add appropriate tags to relevant real estate contacts or business partners when applicable. Engage with comments and interactions on the client's own Facebook and Instagram posts, in addition to engaging with external community and industry posts. When responding to financing-related questions, use information, approved talking points, and scenario-specific guidance provided by the client to ensure comments accurately represent the client's services and available financing resources. Avoid providing specific interest rates, monthly payments, loan terms, or eligibility assurances without reviewing the individual's circumstances and receiving the appropriate information from the client. When a financing inquiry requires a more detailed assessment, encourage the individual to send a private message or contact the client directly for a customized discussion or quote. Focus on community engagement rather than taking over content creation, as the client currently has a separate resource handling the content calendar and post creation. 4. Activity Tracking, Reporting, and Accountability Maintain a daily log of meaningful comments, interactions, follow-ups, and outreach activities, including direct links as evidence. Record working hours accurately and categorize time according to tasks performed. Submit concise daily updates summarizing engagement activities, sources contacted, time spent, and outstanding concerns. Communicate questions, blockers, and changes in priorities proactively. Ensure reported work aligns with documented activities and outputs. Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: Experience in social media management, community engagement, or online outreach. Strong written English and the ability to write natural, professional, and personalized comments. Familiarity with Facebook and Instagram, preferably for business or real estate purposes. Good research and organizational skills, with the ability to identify relevant local real estate contacts and communities. Strong attention to detail and consistent follow-through. Ability to work independently, follow instructions, and maintain accurate activity records. Understanding of professional online communication and appropriate engagement practices. APPLICATIONS AND TOOLS REQUIRED Facebook: For community engagement, monitoring, and relationship building. Instagram: For engaging with relevant local real estate accounts and monitoring interactions. Social Media Scheduling Tools: Familiarity with scheduling and publishing tools, if required by the client. Tracking and Reporting Tools: Ability to maintain activity logs, record working hours, and provide daily updates using spreadsheets or other client-designated tools. Work Schedule Contracted Hours per Week: 10 Hours Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: Flexible-EST Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Marketing VA REQUESTED EXPERIENCE TIER LEVEL: Entry, Junior Level Contracted Hours per Week: 10 hours/week Daily Working Time: Flexible-EST Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE: Level A–C (Good English comprehension, communication, speaking, and writing skills) REGION PREFERENCES: Any What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Location: Paris Workplace: Hybrid WHY THIS ROLE EXISTS At Pennylane, Growth Operations is crucial in transforming prospect data and marketing processes into an automated, reliable, and scalable growth engine.   We are hiring a Growth Operations to join our Growth team and work at the intersection of business, data, automation, and AI. Your mission: enhance how we identify, enrich, and activate prospects while building tools that boost Marketing and Sales efficiency.   You will also contribute to AI adoption by identifying use cases, creating agents and workflows, testing new tools, and empowering teams to use them effectively.   🌍 WHAT IS PENNYLANE? Pennylane is one of France's leading fintech unicorns, creating the financial and accounting operating system for European SMEs and accounting firms.   Founded in 2020, we empower business owners to make better decisions and enable accountants to focus on client advisory.   A few figures to illustrate our scale and ambition:   - 💻 1.3 million+ SMEs already work with Pennylane. - 🤝 7,000+ accounting firms use our platform. - 👨‍👩‍👧‍👦 1,100+ Pennylaners representing over 25 nationalities. - 💰 €400 million+ raised since launch. - 🌍 Remote-friendly, international culture as we expand across Europe.   WHAT YOU’LL DO As part of our Growth team, you'll closely collaborate with Marketing, Sales, Product Marketing, Operations, and Product.   BUILD SCALABLE AUTOMATION WORKFLOWS - Design and maintain complex workflows using n8n - Automate prospect scraping, enrichment, scoring, and activation - Identify CRM bottlenecks and replace manual processes with scalable solutions - Connect our data warehouse with Salesforce to generate opportunities and provide actionable insights to Sales   TURN DATA INTO GROWTH - Improve prospect database quality and usability - Build tools to help Marketing and Sales generate and activate qualified leads - Support acquisition initiatives: outbound, events, partnerships - Monitor project impact on lead generation, conversion, and efficiency   DRIVE AI ADOPTION - Identify valuable AI use cases for Growth, Marketing, and Sales - Create agents, skills, and reusable workflows - Experiment with tools like Dust, Cursor, and Claude Code - Support adoption via training, documentation, and pilot programs   CONNECT AND OPTIMISE OUR STACK - Integrate tools such as Salesforce, Modjo, Dust, and Livestorm - Translate business needs into technical solutions - Own projects from scoping to deployment and iteration - Ensure compliance with GDPR, CNIL, security, and data governance   WHAT YOU BRING - Hands-on experience in Growth Ops, Marketing Ops, Revenue Ops, or automation, ideally in B2B SaaS or a scale-up - Strong proficiency with n8n and complex, multi-tool workflows - Ability to translate business challenges into tech solutions - Familiarity with CRM systems, prospect data, scraping, enrichment, and scoring - Proven record of impactful automation projects - Practical experience using AI tools and supporting adoption - Strong communication and project management skills - Autonomy, curiosity, and an ownership mindset - Professional working proficiency in English - Bonus: Experience with SEO, SEA, or the broader acquisition funnel   🛠️ TOOLS AND ENVIRONMENT You’ll use tools like n8n, Salesforce, Modjo, Dust, and Livestorm and experiment with solutions such as Cursor, Claude Code, and MCPs.   WHAT YOU CAN EXPECT - A role combining Growth, automation, data, and AI - End-to-end ownership with measurable business impact - Opportunity to build systems from scratch - Key role in shaping automation and AI practices - Close collaboration with cross-functional teams - A demanding, supportive, execution- and learning-focused environment   📍 LOCATION AND WORKING MODEL Permanent position based in Paris on a hybrid basis   🔎 OUR RECRUITMENT PROCESS - Talent Acquisition interview (30 min, remote) - Hiring Manager interview (1 hour, remote) - Case study & debrief (1 hour, remote) - Final interview with a Marketing leader (45 min, remote) - Team-fit interview (1 hour, in person)   🌈 OUR COMMITMENT TO DIVERSITY AND INCLUSION Pennylane is committed to an inclusive, supportive work environment with equal opportunities for all candidates, regardless of background, gender, religion, sexual orientation, disability, or any other personal characteristic.   If this role excites you and you believe you could add value, we encourage you to apply—even if you do not meet every requirement.   ⚠️ IMPORTANT INFORMATION FOR CANDIDATES Please apply only through Pennylane’s official channels. Our communications come from addresses ending in @pennylane.com or @pennylane-partners.com.   We will never request payment or financial information at any stage of the recruitment process. 🇫🇷 Données personnelles Pennylane traite vos données pour gérer votre candidature et évaluer votre adéquation au poste. Si votre candidature n’aboutit pas, vos données peuvent être conservées 2 ans à compter de notre dernier échange ou de la clôture du recrutement afin de constituer & gérer un vivier de candidats. Vous pouvez vous opposer à tout moment et demander la suppression de vos données en écrivant à : dpo@pennylane.com. dpo@pennylane.com Notre data policy https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement 🇬🇧 Personal Data Pennylane processes your data to manage your application and assess your suitability for the position. If your application is unsuccessful, your data may be retained for 2 years from our last exchange or the closing of the recruitment process, in order to build and manage a candidate pool. You may object at any time and request the deletion of your data by writing to dpo@pennylane.com. Learn more https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement 🇩🇪 Personenbezogene Daten Pennylane verarbeitet Ihre Daten, um Ihre Bewerbung zu bearbeiten und Ihre Eignung für die Stelle zu beurteilen. Sollte Ihre Bewerbung nicht erfolgreich sein, können Ihre Daten bis zu 2 Jahre ab unserem letzten Austausch oder dem Abschluss des Rekrutierungsverfahrens gespeichert werden, um einen Kandidatenpool aufzubauen und zu verwalten. Sie können jederzeit Widerspruch einlegen und die Löschung Ihrer Daten beantragen, indem Sie an dpo@pennylane.com schreiben. Mehr erfahren https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement 🇪🇸 Datos personales Pennylane trata sus datos para gestionar su candidatura y evaluar su idoneidad para el puesto. En caso de que su candidatura no sea seleccionada, sus datos podrán conservarse hasta 2 años a partir de nuestro último contacto o de la finalización del proceso de selección, con el fin de constituir y gestionar una reserva de candidatos. Puede oponerse en cualquier momento y solicitar la eliminación de sus datos escribiendo a dpo@pennylane.com. Más información https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement

Location: Porto Workplace: Hybrid Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Porto Site Lead to support our mission. This role is based in Porto, Portugal and operates on a hybrid work model (in-office 3 days per week). ABOUT THE TEAM Trust & Safety keeps Patreon welcoming and fair, so creators and their fans can connect and creativity can thrive. We set clear standards and act quickly and consistently when something's off. Porto is our main Trust & Safety hub in Europe, where a significant share of our safety work gets done. It's a close-knit, multidisciplinary team of content specialists, project and program managers, vendor managers and policy experts, sharing the office with colleagues in Support, Fraud and Compliance. As Patreon grows into a place where fans discover new creators and communities, the work done in Porto matters more than ever. ABOUT THE ROLE We're looking for an experienced operations leader to run Trust & Safety in European hours and lead our Porto site. As T&S Operations Lead, you'll own how well Porto runs: healthy queues, targets met, smooth handoffs to our US team, and a team that knows what's expected and how they're doing. Operational excellence, team enablement, and capacity planning are at the heart of the job. You'll be the senior operations leader on site from day one, with a direct report focused on operations enablement and a scope built to grow as Porto does, including leading more of the site's team over time. You'll work hand in hand with our global Trust & Safety leaders on policy, quality, tooling, and partner management, and bring Porto's perspective into the decisions that shape how we keep Patreon safe. As Porto’s Site Lead, you’ll represent the whole office, not just T&S. You'll serve as Porto’s site representative: chairing the Porto Leadership Council, partnering with Workplace/HR, and bringing the needs of Compliance, Fraud, Support Experience, and T&S into site-wide decisions. WHAT YOU'LL DO - Run European-hours operations to target. Co-own queue health, review rates and service levels with the leaders of each safety area while Porto is online. Spot drift early, fix what you can, and escalate the rest with a clear owner and timeline. - Plan capacity. Work with the leaders of each safety area and our program managers to build monthly capacity plans across our in-house team, outsourcing partners and automation, and rebalance work when volume shifts. - Deliver on our targets, and find out why we miss. The leaders of each safety area set targets for their work and agree them with you. You'll be the single place those goals come together for Porto: deliver them on the ground, track progress, coach the team, and dig into root causes when we miss on efficiency or quality, then bring back what you learn. - Raise the bar on how we operate. Co-own the playbooks, training and workflow changes our safety-area leaders and program managers design, lead their rollout in Porto, and measure the impact on quality, handle time and backlog. - Keep work moving between Europe and the US. Make sure escalations, incidents and open work hand off cleanly across time zones, so nothing stalls or drops. - Lead incidents in European hours. Contain issues using our playbooks, make the call when a decision can't wait, and hand off with full context. - Look after the team. Make sure people doing high-exposure work have the rotation, breaks and support they need, notice early signs of strain, and involve people before changes that affect them. - Lead the site. Chair the Porto Leadership Council, bringing together every team in the Porto office, from Support to Fraud and Compliance. Be Porto's voice with US leadership, and build a culture where people feel connected and recognized. - Grow Porto's team and leaders. Develop your direct report and the site's emerging leaders, and help Porto keep a strong mix of specialist, project, program, and policy talent. WHAT YOU'LL OWN - Your call, for Trust & Safety in Porto: running our operations day-to-day in European hours. That includes keeping work flowing when volume spikes, covering absences, containing incidents using our playbooks, and setting the team's operating rhythm. Other teams in the office keep their own leadership. - Your call, for the Porto site: the Porto Leadership Council’s agenda and how Porto shows up with Execs and US leadership. Other non-T&S teams keep their own leadership. You align and represent them, you don’t manage them. - Agreed with the leaders of our safety areas: the targets they set for their work, monthly capacity plans, shifting work between areas, and workflow changes that affect enforcement decisions. - Owned by partners, with your input: policy and enforcement standards, quality standards, HR matters and vendor contracts. You'll have a strong voice in all of them. ABOUT YOU - 8+ years leading content moderation, Trust & Safety or customer support operations. Whether in-house or at an outsourcing partner, you've run the people, targets, and quality of a content or customer-facing team. Workforce management and quality leadership in those settings count too. - You have a track record of moving the numbers. You've owned throughput, quality, and service-level goals for an operations team, built capacity plans, and delivered measurable improvements you personally drove. - You've scaled operations with outsourcing partners or automation. - You lead with clarity and fairness. You set expectations, give direct feedback with care, and stay calm when things get hard. - You work well across teams. You've led alongside teams you don't manage, and you know when to decide and when to align. - You're fluent in English. Portuguese is a strong plus. - You're based in Porto, or ready to relocate. We'll support your move. NICE TO HAVE - Trust & safety experience, especially with EU/UK online-safety rules. - Experience leading a site or office in Portugal or elsewhere in Europe. - Experience with AI-assisted moderation or quality programs. WHAT SUCCESS LOOKS LIKE IN YOUR FIRST YEAR - Review rates and handoffs in European hours are consistently on target. - T&S has a clear, reviewed capacity plan, updated monthly. - Quality findings turn into action within 90 days. - The Porto Leadership Council meets on a regular cadence with agreed site priorities. - The Porto team feels more connected and more confident in where they're headed. WHY JOIN - Lead a site. Shape how our main Trust & Safety hub in Europe runs, with real decision rights from day one. - Room to grow. A clear path to leading more of Porto's team as the site grows. - Meaningful work. Help keep a community of millions of creators and fans safe. - Life in Porto. One of Europe's most livable cities, on the Atlantic coast. HOW TO APPLY Along with your CV, answer one short question (a few sentences is plenty): tell us about an operation you led. How many people, what volume, and one metric you improved? If one of our recruiters reached out to you, we'll cover this in your first call instead. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. ABOUT PATREON Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon. Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, vacation leave, company holidays and recharge days, lifestyle stipends, learning and development stipends, patronage, parental leave and sick leave, and pension with an employer contribution. Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office three days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with Portugal and EU pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time. Compensation: €4,116 – €6,183 per month (gross base salary), paid on a 14-month basis (total annual cash compensation: €57,633 – €86,562). Final placement within the cash range is determined by skills, experience, and alignment with Patreon's internal pay bands. This role is also eligible for equity compensation.

About the Role As Engineering Manager for the Subledger team, you will own the system of record for every financial transaction at Hopper, driving accurate reporting and reconciliation across all money movements in our ecosystem. • От 8 лет в разработке ПО, включая от 2 лет управления инженерами;

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the team Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a  Senior Software Engineer to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm. This role sits at the intersection of distributed systems, ML infrastructure, and platform engineering. We value engineers who listen closely, invite feedback, and work effectively across organizational boundaries, while maintaining a high bar for ownership, technical judgment, and execution. Strong candidates care about building reliable shared platforms, improving developer velocity, and creating durable systems that enable teams across the company to move faster with confidence. What You'll Do · You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. · You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. · You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. · You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Experience training and deploying models for production is a nice to have. Base Pay Grade - N Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $153,000 - $213,000 Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the team Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a  Senior Software Engineer to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm. This role sits at the intersection of distributed systems, ML infrastructure, and platform engineering. We value engineers who listen closely, invite feedback, and work effectively across organizational boundaries, while maintaining a high bar for ownership, technical judgment, and execution. Strong candidates care about building reliable shared platforms, improving developer velocity, and creating durable systems that enable teams across the company to move faster with confidence. What You'll Do · You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. · You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. · You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. · You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. · This position requires either equivalent practical experience or a Bachelor’s degree in a related field. · Experience training and deploying models for production is a nice to have. Base Pay Grade - N Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $195,000 - $225,000 USA base pay range (all other U.S. states) per year: $173,000 - $233,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

We're hiring a System Analyst with German (Intermediate+) to work on large-scale international projects.

Location: Munich, Germany Workplace: Remote Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD Step into the driver’s seat of customer transformation as our next Technical Deployment Manager, where no two integrations or customer journeys look the same! In this hybrid technical-consulting role, you will be the architectural backbone and trusted advisor guiding global organizations through complex onboarding milestones, bespoke workflows, and seamless platform connectivity. You'll bridge the gap between high-level customer vision and deep technical execution, directly unlocking the full power of Docebo’s AI-driven learning suite for enterprise teams around the globe. If you love solving technical puzzles, building automated workflows, and delivering tangible "aha!" moments to customers, your next big career adventure starts right here. 🛠️ THE DAY-TO-DAY - Lead the Charge: Partner directly with diverse, global enterprise clients to translate ambitious business objectives into crystal-clear technical success criteria and project roadmaps. - Architect the Integrations: Design, configure, and troubleshoot robust API workflows and enterprise product add-ons, including Single Sign-On (SSO) and web conferencing tools. - Automate the Magic: Build cutting-edge data transfer workflows and third-party platform connections via Docebo Connect using Workato-powered middleware technology. - Unlock Deep Insights: Craft and deploy custom SQL queries directly into customer platforms to deliver actionable, high-impact reporting. - Bridge the Strategy: Collaborate seamlessly across Sales Engineering, Professional Services, and Customer Success to keep cross-functional stakeholders aligned and projects on budget. - Pave the Trail: Produce and refine top-notch technical documentation and deployment best practices that turn complex configurations into repeatable wins. - Navigate the Horizon: Proactively uncover, quantify, and mitigate technical risks early to guarantee smooth, friction-free onboarding experiences every time. ⚡ YOUR SUPERPOWERS - Consulting & SaaS Savvy: Proven track record in customer-facing SaaS environments (2+ years) with solid grounding in software implementation and technical consulting (4+ years relevant experience overall). - Technical Chops: Hands-on experience working with REST APIs, testing web services with HTTP clients like Postman, and a working foundation in SSO protocols and SQL. - Integration Fluency: Working knowledge of automation middleware platforms (such as Workato, Zapier, or MuleSoft) with an aptitude for building clean data flows. - Curiosity & Fast Learning: A boundless appetite for mastering new technologies, digging deep into platform mechanics, and evolving into a go-to Docebo product authority. - Customer-First Communication: Exceptional relationship-building skills with the ability to ask the right questions, understand nuanced needs, and turn technical jargon into clear business value. - Global Fluency: Professional bilingual proficiency in both spoken and written English and German, paired with an openness to travel occasionally (10% or less). 🌟 BONUS POINTS - Identity & Code Expertise: Advanced experience with SAML or OpenID Connect, alongside hands-on coding ability in at least one modern programming language. - Enterprise Ecosystem Know-How: Background navigating large-scale enterprise deployments and integrating complex HRIS, CRM, or enterprise calendar ecosystems. - Multilingual Flair: Professional working proficiency in additional languages such as Italian, French, or Spanish. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.   OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.   ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.   Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken’s world-class Security Team is growing. As we continue to scale and mature our information technology controls program, we are seeking a senior professional with a strong background in risk management to help build and operate a program designed for enterprise scale. Kraken is seeking a Senior Risk Analyst to join the Security Governance, Risk, and Compliance (SecGRC) team. Reporting to the Senior Manager of Security Risk Management, this role is a key contributor to the execution and maturation of Kraken's Security Risk Management program. You'll conduct rigorous risk assessments, produce high-quality analysis, and help build the operational infrastructure that makes the program run — all in close partnership with program leadership. This role offers the opportunity to make a meaningful and lasting impact both within Kraken and across the broader industry. The ideal candidate is deeply analytical, process-minded, and energized by turning ambiguous risk signals into clear, repeatable, and scalable workflows. Entrepreneurial spirit and comfort with iterating quickly is a must. This is a fully remote role. THE OPPORTUNITY - Execute security risk assessments end-to-end — scoping, data gathering, analysis, findings documentation, and communicating results to stakeholders — in alignment with program methodology set by leadership - Support the development and continuous refinement of risk assessment templates, workflows, and process guides that make the program consistent and scalable - Maintain risk registers and ensure identified risks are tracked accurately and progressing through mitigation, remediation, or acceptance workflows - Assist in building and maintaining Key Risk Indicators (KRI) tracking and risk reporting outputs, translating raw data into clear, well-structured deliverables for review by senior leadership - Partner with technical teams including Vulnerability Management, Application Security, and Blue Team to gather risk-relevant data and incorporate operational findings into assessment work - Identify opportunities to streamline and automate risk processes and bring those recommendations to program leadership for prioritization - Contribute to the documentation and upkeep of risk program standards, procedures, and guidance materials - Collaborate with cross-functional teams including Compliance, Internal Audit, Engineering, and Legal to ensure risk findings are well-contextualized and properly actioned - Support audit preparedness activities and risk-related reporting as directed by program leadership WHAT YOU BRING - 5+ years of experience in information security risk management, cybersecurity governance, or GRC - Hands-on experience conducting risk assessments and owning findings documentation — not just supporting assessments, but running them - Strong working knowledge of risk management frameworks such as NIST CSF, ISO 27005, PCI DSS, or DoCRA - Demonstrated ability to build repeatable processes — you've taken something ad hoc and made it structured and scalable - Strong data analysis skills; able to clean, interpret, and present risk data clearly and accurately - Experience contributing to KRI tracking and risk reporting for internal stakeholder audiences - Familiarity with GRC tools such as AuditBoard, Archer, OneTrust, or ServiceNow GRC - Proficient in Google Workspace; SQL and/or Tableau experience a strong plus - Excellent written communication — your deliverables are clear, well-organized, and don't require heavy editing - Self-directed and comfortable operating in ambiguity; you take direction well and run with it - Bachelor's degree or above in IT, Cybersecurity, Business Administration, Engineering, or a related field - CISM, CRISC, or ISO 27001 credentials a plus; experience in fintech or regulated industries preferred Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice