Вакансии

Location: Singapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania Workplace: Remote Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones) Start Date: ASAP Languages: English Team: Engineering ABOUT THE ROLE Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand. We are looking for a Research Engineer, Privacy and Anonymization to build the systems that make sensitive, real-world data safe and still useful for AI training. You will develop methods to detect and remove personally identifiable information, secrets and other sensitive content from raw data before it enters processing and synthetic data pipelines — protecting privacy without destroying the structure and signal that make the data valuable for training agents. This is a privacy and data-protection engineering seat, not a synthetic-task design role. You will own the pipeline that stands in front of downstream processing, training, evaluation and synthetic generation. This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring. WHAT YOU'LL DO - Build systems to detect PII, quasi-identifiers, credentials and other sensitive information, and design transformations based on the data type and the downstream use case. - Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods. - Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation. - Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests and adversarial re-identification attempts. - Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields. - Work with engineering, research, operations and customers to translate privacy requirements into practical technical policies and safeguards. WHAT WE'RE LOOKING FOR - Strong proficiency in Python, and experience building reliable production data or machine-learning systems. - Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content. - Strong experimental instincts, and the ability to compare approaches across recall, precision, latency, cost and downstream data utility. - An understanding of the difference between redaction, masking, pseudonymization, anonymization and synthetic data — and when each is appropriate. - High attention to detail, and the ability to reason about subtle leakage paths, edge cases and adversarial failure modes. - Experience building data-processing pipelines end to end, including where there was no fully prescribed roadmap. - Clear written and spoken English, and comfort collaborating across teams and time zones. - Strong candidates may also have hands-on experience with privacy-enhancing technologies (such as differential privacy, k-anonymity, secure aggregation or format-preserving encryption); have worked with sensitive data in healthcare, finance or security; have built low-latency or high-throughput ML inference or data-processing systems; or have taken work from early research through to production. - Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above. WHY THIS ROLE MATTERS FOR YOU - Make real-world data safe to train on: You will build the systems that let sensitive data be used for AI training without exposing people or secrets. - Privacy without wrecking utility: The job is not only to redact, but to keep the structure and signal that downstream training and synthetic pipelines need. - From detection to production: You will own the full path: detection methods, transformations, evaluation, and the pipeline that sits in front of training and generation. - Hard, high-stakes edge cases: Work on leakage paths, schema drift and adversarial failure modes, not only clean benchmark datasets. - San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring. Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: United States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico Workplace: Remote Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones) Start Date: ASAP Languages: English Team: Engineering ABOUT THE ROLE Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand. We are looking for a Research Engineer, Privacy and Anonymization to build the systems that make sensitive, real-world data safe and still useful for AI training. You will develop methods to detect and remove personally identifiable information, secrets and other sensitive content from raw data before it enters processing and synthetic data pipelines — protecting privacy without destroying the structure and signal that make the data valuable for training agents. This is a privacy and data-protection engineering seat, not a synthetic-task design role. You will own the pipeline that stands in front of downstream processing, training, evaluation and synthetic generation. This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring. WHAT YOU'LL DO - Build systems to detect PII, quasi-identifiers, credentials and other sensitive information, and design transformations based on the data type and the downstream use case. - Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods. - Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation. - Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests and adversarial re-identification attempts. - Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields. - Work with engineering, research, operations and customers to translate privacy requirements into practical technical policies and safeguards. WHAT WE'RE LOOKING FOR - Strong proficiency in Python, and experience building reliable production data or machine-learning systems. - Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content. - Strong experimental instincts, and the ability to compare approaches across recall, precision, latency, cost and downstream data utility. - An understanding of the difference between redaction, masking, pseudonymization, anonymization and synthetic data — and when each is appropriate. - High attention to detail, and the ability to reason about subtle leakage paths, edge cases and adversarial failure modes. - Experience building data-processing pipelines end to end, including where there was no fully prescribed roadmap. - Clear written and spoken English, and comfort collaborating across teams and time zones. - Strong candidates may also have hands-on experience with privacy-enhancing technologies (such as differential privacy, k-anonymity, secure aggregation or format-preserving encryption); have worked with sensitive data in healthcare, finance or security; have built low-latency or high-throughput ML inference or data-processing systems; or have taken work from early research through to production. - Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above. WHY THIS ROLE MATTERS FOR YOU - Make real-world data safe to train on: You will build the systems that let sensitive data be used for AI training without exposing people or secrets. - Privacy without wrecking utility: The job is not only to redact, but to keep the structure and signal that downstream training and synthetic pipelines need. - From detection to production: You will own the full path: detection methods, transformations, evaluation, and the pipeline that sits in front of training and generation. - Hard, high-stakes edge cases: Work on leakage paths, schema drift and adversarial failure modes, not only clean benchmark datasets. - San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring. Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: 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

Location: United Kingdom; Brazil; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria 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

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. We are looking for a Security GRC Lead to own security governance, risk, and compliance across Payward's acquisitions. You will be the accountable owner for bringing each acquired company from its own control environment into ours, working with the M&A Technology Team from diligence through to either full platform migration or steady-state coverage under our central program. Payward acquires and integrates companies continuously, across multiple jurisdictions and regulatory regimes. Every target arrives with its own controls, its own maturity level and its own audit history, and every one enters our financial statement audit scope on a timeline set by the deal rather than by readiness. Today that work competes for the same people who run controls for the parent company. This role exists so that it has a dedicated owner. This is a build role to uphold the repeatable process for assessing an acquired company against our security baseline, mapping its controls into our compliance frameworks,and setting remediation milestones a newly acquired team can realistically hit. You will then run it, deal after deal, and you are accountable for the work getting done.   THE OPPORTUNITY - Assess each acquisition target against Payward's security baseline, during diligence where deal timelines allow and immediately post-close otherwise - Map the acquired company's existing controls to Payward's control framework, and identify gaps against the external frameworks the entity falls under once in scope - Score control maturity at the entity level and document the basis for each score - Define remediation milestones that are achievable for the acquired team's size and maturity, sequenced by risk reduction rather than by framework order - Track milestones to closure and report status to Security GRC leadership and the M&A Technology Team - Recommend the endpoint for each entity: full migration onto Payward platforms, or uplift to a maturity level the central program can absorb - Load acquired-entity risks into the enterprise risk register and keep them current - Prepare acquired entities for inclusion in external audit scope, including evidence collection and walkthrough support - Act as the Security GRC point of contact for acquired-entity leadership, finance, and internal audit - Maintain policy coverage for acquired entities, including building entity-specific policy libraries where the parent policy set does not apply cleanly - Feed recurring findings back into the diligence process, so later deals are assessed against known patterns - Document the onboarding process so that it is repeatable and not dependent on one person   WHAT WILL YOU DO - Target Assessment - Review target security posture during diligence: control environment, identity and access management, infrastructure, third-party dependencies, and prior audit or examination history - Produce a written assessment of each target against the Payward security baseline, separating the risks that matter to the deal from those that matter to steady-state operations - Give the M&A Technology Team and deal sponsors a clear read on what integration will cost in control remediation terms - Control Mapping and Framework Onboarding - Map acquired controls to Payward's framework and to the external frameworks the entity becomes subject to - Identify which parent-company controls extend to the entity as they are, which need an entity-specific variant, and which have no equivalent at all - Build the entity's policy library where the parent policy set does not cover it - Remediation and Milestones - Set milestones the acquired team can meet, each with a date, an owner, and a stated risk reduction - Sequence work so that the highest-risk gaps close first rather than the easiest ones - Run the cadence for tracking remediation and escalating overdue or material risks Prepare proposed risk acceptances, including the rationale and compensating controls, and present them to leadership for decision - Program Integration - Prepare entities for external audit inclusion and support fieldwork - Keep acquired-entity risk visible in the enterprise risk register and in Security GRC reporting - Hand each entity over to central GRC coverage once its maturity supports it, with the handover documented - Integrate 3rd parties and vendors into Payward WHAT YOU BRING - 5-7+ years in security governance, IT risk, or compliance, including regulated financial services, fintech, or virtual asset environments - Direct experience onboarding an acquired company into an existing controls or compliance program. This is the core of the role - Working knowledge of SOX/ICFR IT general controls and what external auditors accept as evidence - Experience with at least two of ISO 27001, SOC 1, SOC 2, and PCI DSS, including mapping controls across frameworks - Ability to assess control maturity and set remediation plans the receiving team completes, including teams below Payward's maturity level - Hands-on delivery: you write the scope, collect the evidence, and close gaps yourself when needed - Sound judgment on priorities with incomplete information, and the sense to escalate decisions that need leadership - Ability to build working relationships with control owners in IAM, infrastructure, and engineering - Ability to translate control gaps into risk language that deal teams and executives can act on - Strong project management across cross-functional, distributed teams - Preferred - CISA, CRISC, CISM, CISSP, or ISO 27001 Lead Implementer - M&A or post-merger technology integration experience - Familiarity with PKM   WHY THIS ROLE - You will own a domain end to end rather than supporting someone else's. There is no incumbent process and no one else doing this work today - Acquisitions are one of the fastest-moving parts of the business, and security integration sits on the critical path for each one - You will work directly with deal teams, acquired-company leadership, external auditors, and Security GRC leadership, with visibility into how acquisitions are evaluated and closed - Payward is preparing for public company reporting, which means the controls you put in place at acquired entities are the ones external auditors will test - The scope of this role grows with the acquisition pipeline, across jurisdictions and regulatory regimes - You will join a remote-first, international team 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

Location: United Kingdom; Brazil; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria 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. We are looking for a Security GRC Lead to own security governance, risk, and compliance across Payward's acquisitions. You will be the accountable owner for bringing each acquired company from its own control environment into ours, working with the M&A Technology Team from diligence through to either full platform migration or steady-state coverage under our central program. Payward acquires and integrates companies continuously, across multiple jurisdictions and regulatory regimes. Every target arrives with its own controls, its own maturity level and its own audit history, and every one enters our financial statement audit scope on a timeline set by the deal rather than by readiness. Today that work competes for the same people who run controls for the parent company. This role exists so that it has a dedicated owner. This is a build role to uphold the repeatable process for assessing an acquired company against our security baseline, mapping its controls into our compliance frameworks,and setting remediation milestones a newly acquired team can realistically hit. You will then run it, deal after deal, and you are accountable for the work getting done.   THE OPPORTUNITY - Assess each acquisition target against Payward's security baseline, during diligence where deal timelines allow and immediately post-close otherwise - Map the acquired company's existing controls to Payward's control framework, and identify gaps against the external frameworks the entity falls under once in scope - Score control maturity at the entity level and document the basis for each score - Define remediation milestones that are achievable for the acquired team's size and maturity, sequenced by risk reduction rather than by framework order - Track milestones to closure and report status to Security GRC leadership and the M&A Technology Team - Recommend the endpoint for each entity: full migration onto Payward platforms, or uplift to a maturity level the central program can absorb - Load acquired-entity risks into the enterprise risk register and keep them current - Prepare acquired entities for inclusion in external audit scope, including evidence collection and walkthrough support - Act as the Security GRC point of contact for acquired-entity leadership, finance, and internal audit - Maintain policy coverage for acquired entities, including building entity-specific policy libraries where the parent policy set does not apply cleanly - Feed recurring findings back into the diligence process, so later deals are assessed against known patterns - Document the onboarding process so that it is repeatable and not dependent on one person   WHAT WILL YOU DO - Target Assessment - Review target security posture during diligence: control environment, identity and access management, infrastructure, third-party dependencies, and prior audit or examination history - Produce a written assessment of each target against the Payward security baseline, separating the risks that matter to the deal from those that matter to steady-state operations - Give the M&A Technology Team and deal sponsors a clear read on what integration will cost in control remediation terms - Control Mapping and Framework Onboarding - Map acquired controls to Payward's framework and to the external frameworks the entity becomes subject to - Identify which parent-company controls extend to the entity as they are, which need an entity-specific variant, and which have no equivalent at all - Build the entity's policy library where the parent policy set does not cover it - Remediation and Milestones - Set milestones the acquired team can meet, each with a date, an owner, and a stated risk reduction - Sequence work so that the highest-risk gaps close first rather than the easiest ones - Run the cadence for tracking remediation and escalating overdue or material risks Prepare proposed risk acceptances, including the rationale and compensating controls, and present them to leadership for decision - Program Integration - Prepare entities for external audit inclusion and support fieldwork - Keep acquired-entity risk visible in the enterprise risk register and in Security GRC reporting - Hand each entity over to central GRC coverage once its maturity supports it, with the handover documented - Integrate 3rd parties and vendors into Payward WHAT YOU BRING - 5-7+ years in security governance, IT risk, or compliance, including regulated financial services, fintech, or virtual asset environments - Direct experience onboarding an acquired company into an existing controls or compliance program. This is the core of the role - Working knowledge of SOX/ICFR IT general controls and what external auditors accept as evidence - Experience with at least two of ISO 27001, SOC 1, SOC 2, and PCI DSS, including mapping controls across frameworks - Ability to assess control maturity and set remediation plans the receiving team completes, including teams below Payward's maturity level - Hands-on delivery: you write the scope, collect the evidence, and close gaps yourself when needed - Sound judgment on priorities with incomplete information, and the sense to escalate decisions that need leadership - Ability to build working relationships with control owners in IAM, infrastructure, and engineering - Ability to translate control gaps into risk language that deal teams and executives can act on - Strong project management across cross-functional, distributed teams - Preferred - CISA, CRISC, CISM, CISSP, or ISO 27001 Lead Implementer - M&A or post-merger technology integration experience - Familiarity with PKM   WHY THIS ROLE - You will own a domain end to end rather than supporting someone else's. There is no incumbent process and no one else doing this work today - Acquisitions are one of the fastest-moving parts of the business, and security integration sits on the critical path for each one - You will work directly with deal teams, acquired-company leadership, external auditors, and Security GRC leadership, with visibility into how acquisitions are evaluated and closed - Payward is preparing for public company reporting, which means the controls you put in place at acquired entities are the ones external auditors will test - The scope of this role grows with the acquisition pipeline, across jurisdictions and regulatory regimes - You will join a remote-first, international team       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

Location: New York City, NY Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible-first workforce. Don't live near our New York office? No worries: you can work remotely from anywhere on the US East Coast (Eastern Time). The Ads Foundational Representations (AFR) team develops signals and representations of Reddit’s core entities (ads, posts, users, and so on), capturing the semantic, contextual, and behavioral information that Reddit Ads needs. We work on building embeddings to understand content and users' interests based on the content they engage with. Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas: Multimodal & Content Embeddings - Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space. Contextual and Behavioral Relevance - Working with Product & Data Science, establishing definitions of what ads are relevant to users and the content we show them next to, building metrics and fine-tuning embeddings to better reflect relevance. Knowledge Graph Embeddings - Building representations for the Knowledge graph entities, e.g., intellectual properties/brands, to be used for high-precision targeting & business insights. User Intent Modeling - Leveraging various techniques to introduce user representations based on the content they interact with: batch & real-time sequence modeling, LLM summarization, etc. LLM-based Representations - Leveraging LLMs, VLMs, and foundational models to build complex representations of Reddit entities that improve ranking outcomes The signals and features we create become a key piece in the Ads Delivery funnel, from targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization. As a Staff ML Engineer , you’ll be in charge of setting the technical direction of multiple pillars the team owns. You will lead cross-functional ML projects end to end - from high-level business gap analysis to engineering execution. Roughly 50% of your time will be spent on technical leadership and mentorship (driving strategy & designs, cross-functional collaboration, raising the quality bar), another 50% being individual hands-on work (data analysis & engineering, modeling & automation). Responsibilities Providing technical leadership and mentorship to MLEs in the team: driving designs & their review, establishing best practices in analysis, modeling and engineering, keeping the bar high. Working closely with team/org leadership developing technical strategy for content-based embeddings & relevance for Ads. Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models. Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings. Building data processing and inference pipelines for the models we develop. Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments. Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management. Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance. Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions. Required Qualifications: 7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models. Demonstrated Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects: from requirements, design to cross-team/functional alignment and execution without direct people-management authority. Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing. Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them. Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers. Familiarity with the Ads domain and/or Search/Recommender systems. Experience with mainstream DL frameworks: PyTorch or TensorFlow. Preferred Qualifications: Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP) Tech leadership experience: mentoring junior engineers and leading complex projects. Hands-on experience with using/fine-tuning/building LLMs. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Maputo About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. Role overview The Program Director leads the portfolio of programs for the GiveDirectly (GD) Mozambique country office and right hand person to the Country Director. They own how GiveDirectly Mozambique's cash transfer programs are designed, run and improved, and are accountable for delivery, performance and quality. They have a mandate to deliver cash to recipients and take programs to step-change scale without compromising on quality or safety. At the core of the role is leading and coaching the Programs team: building managers' capacity and a team culture rooted in GiveDirectly values. The Program Director also works closely with other GiveDirectly teams (including Product, Safeguarding, Internal Audit, Operations and External Relations) to deliver programs that are effective, scaleable and recipient-centered. Reports to: Country Director Level: Director Location: Maputo, Mozambique, with regular travel to field sites in Nampula, Sofala and other provinces. Direct reports: LLS Senior Manager; Emergency Cash Program Manager; Social Protection Program Manager; Call Centre Manager What you'll do Program leadership and delivery Lead delivery of a rapidly growing portfolio - flagship large lump sum programs, government-led social protection and emergency cash, including technology enabled models. Lead thinking on how to scale programs and delivery systems in step with the country office's growth ambitions and government poverty reduction priorities. Set and hold high standards for recipient experience, delivery quality, KPIs and M&E, using data to guide decision making and allow adaptive programming. Adapt plans to new activities, refining assumptions and making adjustments to keep planning accurate and delivery smooth. Act as a thought partner to Programs staff, helping them clear bottlenecks to execution. Team leadership and development Coach Programs staff, building their capacity to own decisions, lead teams and develop their skills and hold them accountable to high standards. Build a culture of excellence on the Programs team, rooted in GD values. Plan teams for scale, including hiring and onboarding of large teams, strengthening management and supervision systems, and building pathways for professional growth. Support the Country Director to plan and cost organograms, identify gaps and justify new positions. Product and program design Work with GiveDirectly's global Product team to test, refine and implement new program designs, adapting them to the Mozambique context. Oversee the build and functional requirements of tech for new programs, including validating indicators and system logic capture the right data, route recipients through the right recipient experience, and manage risks appropriately. Track effectiveness, recipient experience and operational delivery across programs, and share feedback to strengthen product design. Develop and adopt tech-enabled and remote delivery models that improve efficiency, mitigate risk and protect quality. Coordinate with other global functions, including Programs, Tech, Research and Finance. Risk, security, safeguarding and audit Identify, mitigate and track risks to programs, including fraud, safeguarding, security, reputational and delivery risks. Dotted line management of the Internal Audit team to coordinate with programs, and support them to strengthen risk management and systems, including digital and automated checks. Work closely with the Safeguarding team to prevent abuse and ensure recipient safety is a priority throughout the program cycle. Share responsibility for security management, working with district security focal points, the global security team and Operations to mitigate security risks. Support the Country Director to uphold donor and government compliance requirements. External engagement and partnerships Support government engagement and partnership building with mobile network operators, to create an enabling environment for large-scale cash programming. Build effective partnerships with implementing partners, including government agencies such as INAS and INGD, as well as sub-awardees and consultants. Support the Country Director on donor relationships including through high-quality reporting, communication and input to proposals. Operations and financial management Work with the Operations team (logistics, procurement, HR) on planning and on improving operational efficiency. Work with the Country Director and others to develop country annual plans, set annual targets, and develop country budgets. Be accountable for project budget vs. actuals (B2As), support review of country B2As, and drive cost efficiency. What you'll bring Strong alignment with GiveDirectly's values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through and fostering inclusivity. 7+ years of experience 3+ years leading rapidly scaling relevant programs. This may include managing large scale field operations in the social sector or otherwise relevant experience in consulting, financial inclusion, telecommunications, or last mile social enterprise A track record of taking programs or delivery systems to scale. Experience coaching managers and building strong team cultures, including hiring and growing teams. Sound judgement on risk, ideally with experience mitigating security, fraud or safeguarding risks. Highly accountable: you turn ambitious goals into concrete plans and take ownership of delivering them. Able to cut through complexity: you distill messy problems to what matters and turn them into simple decisions, memos and designs. An analytical, iterative problem solver who uses data to diagnose issues, track performance and make decisions. Clear, compelling communicator, in writing and in person, with internal teams, government, partners and donors. Able to work collaboratively and negotiate to find solutions that work for stakeholders with different interests. Willing to roll up your sleeves to get things done where needed. Comfortable operating leanly / cost effectively. Professional fluency in English; Portuguese strongly preferred. Must be based in Maputo and able to travel regularly to field sites, including in northern Mozambique. Nice to have - we don't expect candidates to bring all of these: Deep experience living or working in Mozambique Aptitude and curiosity to figure out how technology and AI can bring about step changes in scaling cash delivery responsibly and ethically. Working with product or tech teams to iterate on program designs. Experience managing security, fraud and safeguarding risks. Experience with social protection, humanitarian or cash transfer programs. Experience working with governments line ministries, regulators, and/or mobile network operators. We strongly encourage applications from candidates with personal or professional experience in the low-income communities we serve. Base Salary: USD 100,280 Bonus Target: 15% Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide !

Location: Paris; Linz; Munich; London; Berlin Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role Mistral AI is looking for AI Scientists with deep machine learning expertise and hands-on engineering experience to expand what Mistral's agentic tools can do across the engineering lifecycle across CAE (CFD, FEA etc) and EDA/Semi.. Within AI4Engineering Science, your core work is building the pre and post-training data for Mistral's LLMs to reason about and execute real engineering tasks. Alongside this, you'll help shape the agent architectures and harness that let these models operate reliably inside multi-step engineering workflows, not just answer isolated questions. You'll work closely with domain experts across CAE and EDA to ground this work in how engineers actually work, and with the broader research team to translate that domain grounding into training signal and evaluation benchmarks that measure genuine task competence. What You Will Do - Design pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and semiconductor/EDA - Define verifiers and evaluation criteria that capture what "correct" and "high-quality" actually mean for each engineering task, beyond surface-level plausibility - Design and improve agent architectures and harnesses: how models plan, call tools, recover from errors, and chain steps together across long-horizon engineering workflows - Build evaluation benchmarks and diagnostic tooling to identify where models fail on engineering tasks, and trace those failures back to gaps in data, reward design, or agent scaffolding - Collaborate with domain experts across CAEand EDA (and the science and solutions teams more broadly) to identify which engineering workflows are highest-value to target next - Contribute to Mistral's broader pre and post-training research, sharing findings and methodology across the science organization What We're Looking For - Fluent English with excellent communication skills, able to explain technical ML and engineering concepts to both engineering and non-technical audiences - Deep, hands-on machine learning expertise, particularly LLM development - Demonstrated experience running, debugging, and validating real engineering workflows in at least one of CAD, CAE, semiconductor simulation, or EDA. - You write clean, readable Python code and are comfortable in Linux/HPC environments - Self-directed, you don't need detailed roadmaps to make progress - Low-ego, collaborative, and eager to learn at the intersection of engineering and ML It would be great if you - Have experience building or fine-tuning agentic systems (tool use, multi-step planning, agent orchestration frameworks) - Have experience with reward modeling, RLHF/RLAIF/RLVR, or preference-based training - Have industrial or academic experience with CAE, or EDA tools (e.g. SolidWorks, CATIA, Fluent, Abaqus, LS-DYNA, STAR-CCM+, Cadence/Synopsys/Siemens EDA tools) - Have contributed to a large open-source or industry codebase - Have publications in engineering and ML venues (NeurIPS, ICLR, JFM, AIAA, etc.)   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: United States About Advantage HQ Advantage HQ is building the next generation of creator-led growth infrastructure for consumer brands. We combine creative strategy, creator partnerships, performance content, whitelisting, affiliate distribution, paid media, and proprietary technology into one integrated growth system. Our team manages more than $850 million in annual media spend and works with a network of more than 400,000 creators across Meta, TikTok, and YouTube. Through Meteoric AI, our proprietary intelligence platform, we use data and AI to improve decision-making across creative production, creator selection, customer acquisition, campaign performance, and brand growth. We work with ambitious consumer brands across health, wellness, beauty, nutrition, personal care, and lifestyle. The Opportunity We are looking for a commercially driven Head of TikTok Affiliate to build, lead, and scale our TikTok affiliate growth channel. TikTok has become an important distribution and revenue channel for consumer brands. We see a significant opportunity to help our clients generate incremental sales by building high-performing affiliate ecosystems, recruiting the right creators, and turning authentic creator content into measurable commercial results. Your mission is to develop a scalable TikTok affiliate operation that consistently drives creator-led sales, increases brand visibility, and delivers profitable growth for our clients. You will own the entire affiliate growth function, from developing the overall strategy and recruiting high-performing affiliates to managing campaign execution, optimizing creator performance, and driving revenue. This is not a traditional influencer marketing or social media management role. We are looking for someone who understands the commercial mechanics of TikTok affiliate marketing and knows how to turn creator relationships into a predictable sales channel. You will establish the strategy, systems, processes, and team required to scale affiliate performance across multiple consumer brands. Success means building a high-performing affiliate operation with a strong creator network, consistent sales contribution, efficient campaign execution, and measurable returns for our clients. What You'll Own TikTok Affiliate Strategy & Growth Develop and execute the overall TikTok affiliate strategy across our portfolio of consumer brands. Establish affiliate growth plans aligned with each client's revenue targets, audience, product positioning, and business objectives. Identify opportunities to expand TikTok Shop affiliate distribution and increase creator-driven sales. Develop strategies for open collaborations, targeted collaborations, creator seeding, affiliate promotions, and commission-based partnerships. Establish scalable approaches to creator acquisition, activation, retention, and performance management. Identify opportunities to increase affiliate-attributed GMV, orders, conversion rates, and overall channel profitability. Monitor TikTok's evolving affiliate ecosystem, platform developments, algorithm changes, and industry best practices. Continuously test new affiliate acquisition strategies, creator incentives, promotional structures, and campaign approaches. Creator Acquisition & Affiliate Network Development Build and scale a network of high-performing TikTok affiliates and creators across relevant consumer categories. Develop systematic processes for identifying, sourcing, evaluating, recruiting, and onboarding potential affiliates. Establish creator segmentation strategies based on audience demographics, content quality, engagement, conversion performance, and revenue potential. Build relationships with creators, affiliate communities, talent agencies, and other relevant partners. Develop targeted recruitment strategies to attract creators who align with our clients' brands and target audiences. Establish effective affiliate commission structures, incentives, bonuses, and promotional opportunities. Develop strategies to reactivate inactive affiliates and increase productivity among existing creator partners. Build a sustainable pipeline of new affiliates to support ongoing campaign growth. Affiliate Campaign Management & Performance Optimization Oversee the planning, setup, launch, and execution of TikTok affiliate campaigns across multiple brands. Develop campaign briefs, promotional strategies, product positioning, and creator activation plans. Work with affiliates to produce authentic, engaging, and conversion-focused content that aligns with brand objectives. Monitor campaign performance and identify opportunities to improve creator productivity and sales conversion. Analyze affiliate-level and campaign-level performance to determine which creators, products, and content formats generate the strongest results. Optimize product selection, commission rates, promotional offers, and creator incentives based on performance data. Coordinate with internal creative and media teams to identify high-performing affiliate content that may have potential for paid media amplification. Ensure campaigns are executed efficiently, with clear timelines, deliverables, and performance expectations. Revenue Growth & Commercial Performance Own TikTok affiliate channel revenue targets and overall commercial performance. Drive growth in affiliate-attributed GMV, orders, and revenue across assigned client accounts. Establish clear performance benchmarks for creator acquisition, activation, productivity, and retention. Monitor affiliate commission costs, promotional expenses, and campaign profitability. Develop strategies to improve affiliate contribution margins while maintaining competitive creator incentives. Identify underperforming campaigns and implement corrective actions to improve results. Work closely with Client Services and Growth teams to align affiliate strategies with broader client growth objectives. Present performance insights, growth opportunities, and strategic recommendations to internal leadership and clients. Team Leadership & Operational Excellence Build, lead, and develop a high-performing TikTok affiliate team, including affiliate managers, creator acquisition specialists, and campaign operators. Establish clear team responsibilities, performance expectations, workflows, and accountability structures. Develop standard operating procedures, campaign playbooks, and repeatable processes for affiliate operations. Implement systems for creator sourcing, outreach, onboarding, campaign tracking, commission management, and performance reporting. Establish quality standards for creator recruitment, affiliate communications, campaign execution, and reporting. Monitor team productivity and develop training programs to improve affiliate management capabilities. Identify operational bottlenecks and implement improvements that increase team efficiency and campaign scalability. Build a culture of ownership, accountability, experimentation, and data-driven decision-making. Analytics, Reporting & Technology Establish reporting frameworks to track affiliate performance across brands, campaigns, products, and individual creators. Build dashboards that provide visibility into GMV, affiliate-attributed revenue, orders, conversion rates, commissions, and creator productivity. Use TikTok Shop analytics and relevant affiliate tracking tools to evaluate campaign effectiveness. Analyze creator performance to identify patterns, opportunities, and areas for improvement. Leverage data, AI, and automation to improve creator discovery, outreach, campaign management, and performance analysis. Work with internal technology and analytics teams to identify opportunities to integrate affiliate performance data into broader growth reporting. Use performance insights to continuously refine affiliate strategies and improve commercial outcomes. Who You Are You are an experienced TikTok affiliate marketing leader who understands how to build and scale creator-driven revenue channels. You have hands-on experience with TikTok affiliate marketing and understand the full process, from recruiting creators and structuring affiliate commissions to activating campaigns, optimizing content performance, and driving sales. You know how to build an affiliate network that delivers commercial value. You understand that having thousands of creators in a database means very little without consistent activation, productive relationships, and measurable revenue contribution. You are commercially minded and comfortable owning revenue targets, managing campaign economics, and making decisions based on performance data. You are also a builder and leader. You can establish the strategy, develop the operating model, recruit and manage a team, and create systems that allow the function to scale without relying on manual execution. You are comfortable working across multiple brands, managing competing priorities, and collaborating with creative, media buying, growth, and client services teams. Most importantly, you are highly accountable, proactive, analytical, and comfortable taking ownership of a growing business function. Experience We Value 7+ years of experience in affiliate marketing, influencer marketing, e-commerce growth, creator partnerships, or related performance marketing roles. Significant hands-on experience managing and scaling TikTok Shop affiliate programs. Proven track record of driving measurable GMV, affiliate-attributed revenue, and sales growth through TikTok affiliates. Experience recruiting, onboarding, activating, and managing large networks of TikTok creators and affiliates. Strong understanding of TikTok Shop Affiliate Center, open and targeted collaborations, commission structures, product seeding, and affiliate campaign management. Experience developing affiliate acquisition, activation, retention, and performance optimization strategies. Strong understanding of affiliate performance metrics, including GMV, orders, conversion rates, average order value, commission costs, and return on investment. Experience managing affiliate budgets, commercial arrangements, creator incentives, and campaign profitability. Previous experience leading affiliate teams, managing campaign operators, or building an affiliate marketing function. Experience working with multiple consumer brands, DTC businesses, or e-commerce clients. Strong analytical skills and proficiency with TikTok Shop analytics, affiliate tracking platforms, CRM systems, and reporting tools. Excellent communication, negotiation, and relationship management skills. Entrepreneurial mindset with a strong bias toward execution, ownership, and measurable results. What Success Looks Like Your performance will be measured primarily by the growth, profitability, and operational effectiveness of our TikTok affiliate channel. Key metrics include: Affiliate-Attributed GMV: Total gross merchandise value generated through TikTok affiliate creators. Affiliate Revenue Growth: Growth in sales and revenue generated through the affiliate channel across client accounts. Active Affiliates: Number Your performance will be measured primarily by the growth, profitability, and operational effectiveness of our TikTok affiliate channel. of affiliates consistently generating sales and contributing to campaign performance. Creator Activation Rate: Percentage of recruited affiliates who publish content and become active campaign participants. Creator Productivity: Average GMV, orders, or revenue generated per active affiliate. Affiliate Conversion Rate: Percentage of traffic or product interactions that convert into purchases. Affiliate Contribution Margin: Profitability of the affiliate channel after commissions, incentives, and related campaign costs. Creator Retention: Ability to maintain productive relationships with high-performing affiliates. Operational Efficiency: Ability to scale campaign execution and creator management while maintaining quality and productivity. Team Performance: Achievement of individual and collective affiliate growth targets. Why Join Advantage HQ This is an opportunity to build and lead a major growth channel within a rapidly scaling creator-led growth business. You will have the autonomy to shape our TikTok affiliate strategy, build a high-performing creator ecosystem, develop the team, and establish the systems required to scale affiliate-driven revenue across multiple consumer brands. You will work alongside experienced Growth, Creative, Media Buying, Client Services, and Technology teams, with access to a large creator network and proprietary intelligence through Meteoric AI. We are looking for someone who wants to build a meaningful business function, develop strong industry relationships, and take ownership of a channel with significant commercial potential. Location Fully remote. We have built the infrastructure for high-performance distributed teams and trust our people to do their best work from wherever they work best. Compensation will be based on experience, leadership capabilities, and the scope of the role. If you are excited to build and lead a high-performing TikTok affiliate operation, develop an extensive network of creators, own meaningful revenue targets, and help consumer brands scale through creator-led commerce, we would love to hear from you. referral partners, and help transform Advantage HQ's partnerships channel into a predictable, scalable revenue engine, we would love to hear from you.

Задачи: — Разработка и поддержка микросервисов на Go для масштабных проектов — Проектирование архитектуры и внедрение новых решений — Оптимизация производительности и профилирование приложений — Интеграция с внешними сервисами через gRPC, REST API — Работа с высоконагруженными системами и потоками данных — Взаимодействие с базами данных (PostgreSQL, Redis, Tarantool и др.) — Использование Docker, Git, CI/CD для автоматизации процессов — Написание и поддержка тестов, обеспечение качества кода — Внедрение и поддержка Kafka для обмена сообщениями — Участие в проектировании ETL-конвейеров и аналитических сервисов Требования: — Опыт коммерческой разработки на Go от 3 лет — Глубокое понимание принципов SOLID и основных паттернов проектирования — Уверенное владение Git, опыт работы в Linux — Опыт работы с Docker и CI/CD — Знание и опыт работы с сетевыми протоколами (TCP, HTTP, DNS) — Опыт проектирования микросервисной архитектуры — Навыки работы с высоконагруженными системами — Опыт работы с PostgreSQL, Kafka, Redis, Tarantool или другими NoSQL-БД — Опыт интеграции через gRPC API — Навыки профилирования Go-приложений и написания benchmark-тестов — Умение писать и поддерживать тесты Условия: — Полноценная удалённая работа — Максимально гибкий график — Современное топовое оборудование — Разнообразные технологичные проекты — Профессиональный и личностный рост

Responsibilities: — Drive ecosystem partnership development for CoinMarketCap’s Oracle project by identifying and engaging DeFi protocols, blockchain projects, and enterprise clients. — Manage the full business development cycle from initial outreach and qualification to deal negotiation and agreement finalization. — Analyze industry trends and develop market expansion strategies for the Oracle product across multiple chains and verticals. — Collaborate with the technical team to create compelling solution proposals and product demonstrations. — Build and promote benchmark integration cases and contribute to brand communications related to the Oracle product. — Track project delivery outcomes, maintain strong client relationships, and foster long-term collaboration and value growth. — Provide market intelligence and client feedback to influence Oracle product development and roadmap. — Represent CoinMarketCap’s Oracle at industry events, conferences, and community calls. Requirements: — Minimum 3 years of B2B business development experience in enterprise services or blockchain/Web3. — Strong understanding of DeFi, on-chain oracles, smart contracts, and blockchain infrastructure. — Excellent communication, resource integration, and market insight skills. — Proven track record of closing enterprise-level deals. — Native-level fluency in English; additional languages are a plus. — Adaptability to fast-paced environments and willingness to travel short-term as needed. — Bachelor’s degree in business, computer science, or related field. Nice to Have: — Prior experience or existing relationships with oracle-related projects such as Chainlink or Pyth. — Technical knowledge of on-chain data delivery, smart contract integrations, and multi-chain ecosystems. — Experience with DeFi lending, DEX, or derivatives protocols. — Familiarity with enterprise blockchain adoption and use cases.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As Manager (Player & Coach) of the Solution Architect team, you will lead and mentor a team of Solution Architects who will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of owning discovery calls, demos, technical scoping and driving POCs through to execution as well as designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: - Forward Deployed Engineering on the frontier of AI https://www.baseten.co/blog/forward-deployed-engineering/ - The fastest, most accurate Whisper transcription https://www.baseten.co/blog/the-fastest-most-accurate-and-cost-efficient-whisper-transcription/ - Deploy production-ready model servers from Docker images https://www.baseten.co/blog/deploy-production-model-servers-from-docker-images/ - Deploy custom ComfyUI workflows as APIs https://www.baseten.co/blog/deploying-custom-comfyui-workflows-as-apis/ RESPONSIBILITIES Leadership - Lead, mentor, and grow a team of Solution Architects, providing guidance on technical direction, project execution, and professional development. - Set clear goals and ensure timely, high-quality delivery across multiple customer-facing projects involving LLM deployment and inference optimization. - Collaborate with leadership to align team priorities with company and customer goals, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives. - Player-coach – While much of this role will be leading the team, you will also be expected to be a key driver on strategic product initiatives and customer engagements. The best managers derive credibility from being able to be hands-on when needed. Team Management - Lead a team of Solution Architects who will: - Partner with sales on customer discovery calls (most often second calls, occasionally first calls for large accounts). - Lead demos and technical scoping to align on success criteria, architecture, and deployment approach. - Own benchmarking and repeatable deployments, including handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc. - Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups. - Driving consistent “playbook” style deployments for common models and use cases. - Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them - Drive POC and project execution, including: - Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps. - Acting as the “ringleader” or project manager for POCs. - Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed. REQUIREMENTS - AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders. - 4+ years of professional Solution Architecture/Solutions Engineering experience, including 1+ year in a leadership or mentorship capacity. - Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements. - Technical depth to scope solutions, without needing to write production code. - Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows. NICE TO HAVE - Experience running or supporting benchmarks for ML inference deployments. - Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning). - Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering. - Professional Software engineering experience BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Харденинг Kubernetes, управление доступом на основе ролей (RBAC), контроллеры допуска (admission controllers OPA/Gatekeeper, Kyverno), стандарты безопасности подов (Pod Security Standards), сетевые политики (Network Policies). Безопасность контейнеров (Container Security).

Location: UK - Office - London Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: As Senior Director, EMEA Marketing, you have the opportunity to shape the strategy and execution of full stack marketing in Tenable’s fastest growing theater. This is a unique opportunity to operate as the region's marketing lead across: field and demand generation, channel marketing, advertising, communications, and social. You own the ideas and decisions that drive pipeline creation and advancement across EMEA, and you are the primary marketing partner to sales leadership in turning that strategy into bookings. You lead a team of proven regional marketing managers across the theater, and you report to the Global SVP, Revenue Marketing. Your Opportunity: Marketing Strategy & Cross-Functional Influence Operate as a “regional CMO” for EMEA — equally comfortable setting integrated marketing strategy, doing a brief on an ad campaign, reviewing a communications plan, or defending pipeline attribution in a QBR, rather than specializing in a single discipline. You are a member of the well respected Global Revenue Marketing leadership team that has dramatically shaped and shifted the Tenable brand and the very idea of marketing’s importance to the business. Stay current on modern marketing technology and strategy (intent data, ABM, attribution modeling, AI-enabled marketing tools) and bring that fluency to how the theater’s marketing programs are built, measured, and evolve. Collaborate closely with global marketing teams—including product marketing, brand, and corporate communications—to localize initiatives for the EMEA region while relaying critical regional needs back to headquarters. Pipeline Creation, Advancement & Attribution Redefine our integrated go-to-market plans with your new viewpoint across the regions to bridge company targets with local revenue benchmarks. Build long-lasting and collaborative partnerships with corporate functions and field sales executives to secure the alignment needed to drive marketing impact and efficiency. Drive pipeline creation and progression across EMEA while measuring marketing's attribution to pipeline as a core measure of this role's success. Use data and modern marketing/revenue technology — CRM, marketing automation, intent and account-based platforms, BI/analytics, and AI — to continuously identify where investment is and isn't converting, and YOU decided how to reallocate resources and program funds accordingly. Team, Regional & Channel Leadership Be a leader that leads from the front, inspiring and driving a team across EMEA marketing, setting priorities, developing talent, and ensuring consistent execution across countries and sub-regions. Maintain fiscal governance for the theater, overseeing resource allocation and fund distribution across sub-regions with clear strategic guidance. Representing Tenable at various events; from presenting to partner relations and customer insights As a channel-led organization, this position owns how distributors, resellers, and strategic partners are enabled, funded, and activated—utilizing MDF, joint marketing initiatives, and partner enablement programs to accelerate pipeline generation. Sales Partnership Serve as the primary marketing partner to Tenable's EMEA Theater Sales SVP and country/segment sales leaders — co-owning pipeline coverage plans, forecast conversations, and go-to-market execution. Represent marketing in regional sales leadership forums, with a clear point of view on where the pipeline is healthy, where it's at risk, and what marketing will do about it. True understanding of the requirements from each regional sales leader from a market perspective.  Being present in each region at least once a year for sales relationship, partner meetings and team connect. What You'll Need: 10+ years of B2B marketing experience, including 5+ years in a marketing leadership role managing people and budgets. A demonstrated track record as a broad, full-funnel marketer —with a key focus on numbers as well as driving social media to cast a bigger shadow  Demand generation is core to your background. Experience owning a marketing budget of comparable scale, with direct management of multi-million-dollar spend and influence over a larger pool. A strong track record partnering with sales leadership, including comfort presenting pipeline and marketing-attribution data to senior sales and executive stakeholders. Solid understanding of channel/partner marketing dynamics — this is a channel-led business, and comfort working through distributors and resellers is required. Fluency with modern marketing technology and strategy, including being AI-forward: marketing automation/CRM platforms, intent and account-based marketing tools, and data/analytics platforms. Cybersecurity industry experience is strongly preferred; candidates from other B2B industries will be considered. Fluent English required; no additional language requirement. Based in London, UK, with a hybrid work model; regular travel across the EMEA theater is required. #LI-DD1 #LI-Hybrid We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We’re looking for a Software Engineer to join our AI Tooling team and help shape how developers and agents build with Supabase. You'll build and own our AI tooling, including agents, the MCP server, agent skills and the dashboard assistant, and as the space moves you'll build the tooling for new technologies too. You'll build it all eval-first: every tool ships with evals and metrics, so we know, with evidence, that it makes agents better rather than worse. You'll work closely with the Docs, CLI, Frontend and SDK teams, and with the AI Tooling Infrastructure engineers who run these services in production. Other teams contribute to AI Tooling to improve Supabase's agentic capabilities, and you'll help them do that while keeping the quality bar high. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU’LL BE RESPONSIBLE FOR - Build and improve the AI tooling we run today, including the MCP server, agent skills, agents and the Assistant. - Make new Supabase products usable by agents from day one: tools, skills and evals for new product surfaces. Also build tooling for new AI technologies as they emerge: prototype quickly, evaluate honestly, and decide with the team what is worth taking to production. - Drive an eval-first approach: build and improve evals, instrumentation and feedback loops, measure tools against a no-tool baseline, and help define the quality KPIs and gates that stop regressions shipping. - Understand how customers and agents actually use what we ship, and turn that into improvements to our tooling, interfaces and documentation. - Design how documentation and product knowledge are exposed to agents, and measure whether it works. - Build patterns and tools that help customers add AI to their own apps, such as MCP on Edge Functions, vector embeddings and agents running on Edge Functions. - Enable teams to improve Supabase's agentic capabilities through contributions to AI Tooling: clear contribution paths, templates, documentation and review practice. - Centralise shared AI logic so teams reuse it rather than duplicate it. - Ship tools that are battle-tested, with strong tests, benchmarking and stress testing where it counts. - Work with the AI Tooling Infrastructure engineers on reliability, auth and hosting. - Work across Docs, CLI, Frontend, SDK and other teams to deliver one coherent developer experience, and stay close to the fast-moving AI ecosystem. YOU MIGHT BE A GOOD FIT IF YOU MUST HAVE: - Have 5+ years of experience in professional software engineering experience. - Write strong TypeScript and know the JavaScript ecosystem well: npm, ES modules, bundlers, compatibility. - Are deeply familiar with the AI ecosystem: current tools, agent patterns and practical trade-offs. You can tell a durable pattern from hype. - Have built developer tools, product interfaces or platform primitives used by other engineers. - Have designed or used evaluation frameworks to measure AI quality, reliability and task success, and understand baselines, variance and cost. - Have strong judgement about where AI improves workflows and how to avoid fragile or gimmicky experiences. - Write tests and validate reliability in real-world conditions. - Know Postgres and relational database practice. - Communicate clearly in writing, work across product, engineering and docs, and thrive in async, globally distributed teams. - Are comfortable navigating ambiguity and moving quickly. NICE TO HAVE: - Experience with vector databases and embeddings, ideally pgvector. - Examples of customer-facing AI features or agents you've shipped. - Examples of documentation or structured knowledge designed for developers or agents. - Experience with Braintrust or a similar eval and tracing platform, or setting up CI quality gates. - Open-source contributions or developer tooling you've maintained. - Experience across several product surfaces or teams. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing, and curiosity into a new paradigm of using AI to transform knowledge into action. Thousands of attorneys, Am Law firms, and corporate legal teams already rely on Perplexity every week—and Legal is one of our highest-conviction enterprise verticals. Following the playbook that scaled Perplexity Finance, we are looking for an entrepreneurial Product Manager to build and scale our Legal vertical from the ground up. Product Managers at Perplexity work closely with design, engineering, research, and go-to-market teams to turn frontier AI capabilities into indispensable daily workflows. Whether you have a couple of years of product experience at a legal AI or B2B software company, or you are an early-career builder or operator with high agency and a steep trajectory, this role offers rare end-to-end ownership of a flagship vertical. In your application, please highlight a product, workflow, or agent system you’ve built—or a specific legal problem you believe AI is uniquely positioned to solve. THE ROLE Legal work sits at the exact intersection where Perplexity shines: high-stakes research, multi-document synthesis, verifiable citations, and multi-step execution across specialized systems. Winning in Legal requires clearing an uncompromising bar for accuracy, source authority, document fidelity, and enterprise governance—without sacrificing the speed and simplicity that make Perplexity magical. Sitting within our AI Capabilities & Verticals PM team, you will be the dedicated product owner for Perplexity’s Legal vertical. Rather than building an isolated point solution, you will shape how core Perplexity surfaces—Computer, Search, Teammates, Projects, Plugins, Skills, and Artifacts—come together into a cohesive, trusted experience for litigators, transactional counsel, and in-house legal teams. You will partner across Engineering, Design, AI Research, Partnerships, Sales, and Product Marketing to close product and data gaps, co-design with leading law firms and legal departments, and scale Legal into one of Perplexity’s flagship enterprise businesses. WHAT YOU’LL DO - Own the Legal vertical roadmap end-to-end: Define and execute product strategy across litigation research, M&A and transactional diligence, contract review and drafting, and in-house legal workflows—translating attorney pain points into modular capabilities that benefit the entire platform. - Ship core legal primitives and entrypoints: Partner with Engineering and Design to build the product surfaces high-stakes legal work demands—including structured multi-document review tables for diligence and discovery, passage-level inline citations with side-by-side source verification across PDFs/DOCX/spreadsheets, precision redlining and document comparison, and seamless workflows inside Microsoft Word, Outlook/email, and Slack. - Expand the legal data and connector ecosystem: Work closely with Business Development/Partnerships and Engineering to prioritize, integrate, and launch authoritative legal research sources (case law, citators, dockets, secondary sources) and system-of-record connectors across DMS, VDRs, CLM, e-discovery, and practice management (e.g., LexisNexis, Westlaw, iManage, NetDocuments, Datasite, Intralinks, Ironclad, Clio). - Build Legal Skills, Plugins, Teammates, and tailored onboarding: Design out-of-the-box legal workflows, domain-specific Skills, and tailored onboarding flows that ingest a lawyer’s or firm’s clause playbooks, precedent templates, and drafting conventions for immediate time-to-value. - Set the bar for accuracy, evaluations, and enterprise trust: Partner with AI Research and Engineering to build realistic, workflow-level legal benchmarks and evaluation harnesses (measuring citation fidelity, retrieval recall, tabular extraction, and redline quality), alongside enterprise controls for permissions, matter-level governance, and data handling. - Co-design with customers and accelerate vertical GTM: Build design partnerships with leading law firms and corporate legal teams, join strategic customer calls to turn live blockers into shipped product, and partner with Sales, Applied AI, and Product Marketing to craft category-defining demos, case studies, and self-serve and enterprise growth loops. QUALIFICATIONS - 1–4+ years of experience in product management, founding/early-stage product building, forward-deployed product/solutions, or a high-intensity analytical/operating role (such as startup operations, strategy consulting, or investment banking) paired with hands-on product shipping. We index heavily on slope, curiosity, and execution speed rather than years on a resume. - No JD or formal legal degree required—though genuine curiosity about how legal professionals research, analyze risk, negotiate, and deliver work is essential. - AI-native builder: You actively build with LLMs and agents. You are comfortable writing and tuning prompts and Skills, prototyping workflows end-to-end, reasoning about tool calls and context budgets, and designing evaluations and human-in-the-loop safeguards for non-deterministic systems. - Analytical and data-fluent: Comfortable writing SQL, pulling your own cohorts, instrumenting failure modes, running guarded experiments, and pairing warehouse metrics with qualitative user research to focus on what drives retention and repeat high-value usage. - Crisp communicator and high-velocity executor: Strong written and verbal communication; comfortable moving directly from a partner call with an Am Law firm into writing a tight spec with engineers and shipping iterations the same week. - High-ownership operator: Thrives in a small, agile, low-ego team where processes are still being defined and you own the full stack of the outcome—from multi-quarter vertical strategy down to dogfooding edge cases in redlined Word documents. NICE TO HAVE - Experience building or operating at a legal AI, legal tech, e-discovery, CLM, or vertical enterprise AI company (or working directly with law firms and corporate legal departments). - Familiarity with real-world legal workflows and tooling—such as litigation cite-checking (Shepard’s/KeyCite), M&A virtual data rooms, contract redlining playbooks, DMS/CLM integrations, or Microsoft Office add-ins. - Technical foundation (CS, engineering, data science, or dual technical/business training) with comfort reading API documentation, MCP/connector schemas, and system architectures.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing, and curiosity into a new paradigm of using AI to transform knowledge into action. Thousands of attorneys, Am Law firms, and corporate legal teams already rely on Perplexity every week—and Legal is one of our highest-conviction enterprise verticals. Following the playbook that scaled Perplexity Finance, we are looking for an entrepreneurial Product Manager to build and scale our Legal vertical from the ground up. Product Managers at Perplexity work closely with design, engineering, research, and go-to-market teams to turn frontier AI capabilities into indispensable daily workflows. Whether you have a couple of years of product experience at a legal AI or B2B software company, or you are an early-career builder or operator with high agency and a steep trajectory, this role offers rare end-to-end ownership of a flagship vertical. In your application, please highlight a product, workflow, or agent system you’ve built—or a specific legal problem you believe AI is uniquely positioned to solve. THE ROLE Legal work sits at the exact intersection where Perplexity shines: high-stakes research, multi-document synthesis, verifiable citations, and multi-step execution across specialized systems. Winning in Legal requires clearing an uncompromising bar for accuracy, source authority, document fidelity, and enterprise governance—without sacrificing the speed and simplicity that make Perplexity magical. Sitting within our AI Capabilities & Verticals PM team, you will be the dedicated product owner for Perplexity’s Legal vertical. Rather than building an isolated point solution, you will shape how core Perplexity surfaces—Computer, Search, Teammates, Projects, Plugins, Skills, and Artifacts—come together into a cohesive, trusted experience for litigators, transactional counsel, and in-house legal teams. You will partner across Engineering, Design, AI Research, Partnerships, Sales, and Product Marketing to close product and data gaps, co-design with leading law firms and legal departments, and scale Legal into one of Perplexity’s flagship enterprise businesses. WHAT YOU’LL DO - Own the Legal vertical roadmap end-to-end: Define and execute product strategy across litigation research, M&A and transactional diligence, contract review and drafting, and in-house legal workflows—translating attorney pain points into modular capabilities that benefit the entire platform. - Ship core legal primitives and entrypoints: Partner with Engineering and Design to build the product surfaces high-stakes legal work demands—including structured multi-document review tables for diligence and discovery, passage-level inline citations with side-by-side source verification across PDFs/DOCX/spreadsheets, precision redlining and document comparison, and seamless workflows inside Microsoft Word, Outlook/email, and Slack. - Expand the legal data and connector ecosystem: Work closely with Business Development/Partnerships and Engineering to prioritize, integrate, and launch authoritative legal research sources (case law, citators, dockets, secondary sources) and system-of-record connectors across DMS, VDRs, CLM, e-discovery, and practice management (e.g., LexisNexis, Westlaw, iManage, NetDocuments, Datasite, Intralinks, Ironclad, Clio). - Build Legal Skills, Plugins, Teammates, and tailored onboarding: Design out-of-the-box legal workflows, domain-specific Skills, and tailored onboarding flows that ingest a lawyer’s or firm’s clause playbooks, precedent templates, and drafting conventions for immediate time-to-value. - Set the bar for accuracy, evaluations, and enterprise trust: Partner with AI Research and Engineering to build realistic, workflow-level legal benchmarks and evaluation harnesses (measuring citation fidelity, retrieval recall, tabular extraction, and redline quality), alongside enterprise controls for permissions, matter-level governance, and data handling. - Co-design with customers and accelerate vertical GTM: Build design partnerships with leading law firms and corporate legal teams, join strategic customer calls to turn live blockers into shipped product, and partner with Sales, Applied AI, and Product Marketing to craft category-defining demos, case studies, and self-serve and enterprise growth loops. QUALIFICATIONS - 1–4+ years of experience in product management, founding/early-stage product building, forward-deployed product/solutions, or a high-intensity analytical/operating role (such as startup operations, strategy consulting, or investment banking) paired with hands-on product shipping. We index heavily on slope, curiosity, and execution speed rather than years on a resume. - No JD or formal legal degree required—though genuine curiosity about how legal professionals research, analyze risk, negotiate, and deliver work is essential. - AI-native builder: You actively build with LLMs and agents. You are comfortable writing and tuning prompts and Skills, prototyping workflows end-to-end, reasoning about tool calls and context budgets, and designing evaluations and human-in-the-loop safeguards for non-deterministic systems. - Analytical and data-fluent: Comfortable writing SQL, pulling your own cohorts, instrumenting failure modes, running guarded experiments, and pairing warehouse metrics with qualitative user research to focus on what drives retention and repeat high-value usage. - Crisp communicator and high-velocity executor: Strong written and verbal communication; comfortable moving directly from a partner call with an Am Law firm into writing a tight spec with engineers and shipping iterations the same week. - High-ownership operator: Thrives in a small, agile, low-ego team where processes are still being defined and you own the full stack of the outcome—from multi-quarter vertical strategy down to dogfooding edge cases in redlined Word documents. NICE TO HAVE - Experience building or operating at a legal AI, legal tech, e-discovery, CLM, or vertical enterprise AI company (or working directly with law firms and corporate legal departments). - Familiarity with real-world legal workflows and tooling—such as litigation cite-checking (Shepard’s/KeyCite), M&A virtual data rooms, contract redlining playbooks, DMS/CLM integrations, or Microsoft Office add-ins. - Technical foundation (CS, engineering, data science, or dual technical/business training) with comfort reading API documentation, MCP/connector schemas, and system architectures.