Вакансии

Location: Remote Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows. - Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail. - Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows. - Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation. - Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination. - Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most. - Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions. WHAT YOU HAVE - Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code. - A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead. - The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria. - Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows. - Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail. - Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows. - Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation. - Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination. - Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most. - Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions. WHAT YOU HAVE - Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code. - A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead. - The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria. - Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you’ll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote Roles - LATAM; San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity The Americas Compliance team is hiring a Senior Compliance Manager to own compliance for OKXICE TSV and for the joint venture's new broker-dealer. OKXICE TSV is the tokenized securities venue run by the OKX and Intercontinental Exchange joint venture under the SEC's Innovation Exemption, and it lets eligible US users trade tokenized US-listed stocks on-chain. The joint venture is also registering a broker-dealer with FINRA. You'll be the main person accountable for meeting the exemption's ongoing conditions and for taking the broker-dealer through FINRA membership and into operation. You'll work closely with Legal, Finance, Product, Web3 Risk Control and our AML, Sanctions and Surveillance teams, as well as outside counsel and the broker-dealer's clearing firm. These are new businesses, so you'll help build the programs as well as run them. What You'll Be Doing Own the compliance program for the venue's SEC exemption, including tracking each condition, testing controls and keeping records ready for regulatory examination. Manage the venue's public notice: review revisions, control versions, and make sure the notice matches how the product actually works. This includes corrections and material-change filings within the required deadlines. Run the issuer notice process from start to finish, including tracking delivery, handling objections and confirming each stock's listing date. Track and monitor TSV limits on an ongoing basis, including per-stock and volume limits against consolidated market data, periodic tier rechecks, trading halts and eligible stablecoins. Escalate breaches, significant operational events and required SEC notifications. Oversee participant onboarding and ongoing wallet maintenance and monitoring, including KYC/KYB, daily sanctions and on-chain wallet rescreening, keeping wallet-to-participant records current, and issuing and revoking the soulbound token (SBT) credential that grants access. Lead the broker-dealer through the FINRA new membership application, including Form BD, the business plan and supporting exhibits, responses to FINRA staff requests, and the membership interview. Coordinate the evidence FINRA needs before approval, such as the officer and director structure, authorized signatories on the broker-dealer's bank accounts, bank statements, the independent auditor engagement, the clearing agreement, and flow-of-funds and demo materials. Build the broker-dealer's compliance program, including written supervisory procedures, the supervisory control system, an AML program under FINRA Rule 3310 with customer identification procedures, and books and records under SEC Rules 17a-3 and 17a-4. Once the broker-dealer is approved, run its ongoing compliance, including the annual certification under FINRA Rule 3130, supervisory control testing under Rule 3120, regulatory filings, and FINRA examinations and inquiries. Work with the Financial and Operations Principal on net capital and FOCUS reporting. What We Look For In You 8+ years of compliance experience at a FINRA-registered broker-dealer, exchange, alternative trading system (ATS) or digital asset firm, with direct experience of SEC- and FINRA-regulated activity. FINRA Series 24 (General Securities Principal) registration, or the ability to qualify within an agreed period after joining. Hands-on experience with a FINRA new membership or continuing membership application, including preparing the application and handling FINRA staff questions through to approval. Working knowledge of the federal securities laws and FINRA rules that apply to broker-dealers and trading venues, such as Regulation ATS, Regulation NMS, the net capital and customer protection rules, and market manipulation rules, plus the ability to apply them to new market structures. Experience building or running compliance programs under regulatory conditions, exemptive relief or no-action positions. Familiarity with how blockchain-based trading works, including self-custodied wallets, smart contracts, liquidity pools and on-chain screening. Strong drafting skills, with experience turning complex technical or legal detail into clear public disclosures and procedures. Sound judgment and the ability to work with Product, Engineering and Legal teams across time zones. Nice to Haves Experience with tokenized securities, transfer agents or digital asset broker-dealers. Exposure to OFAC sanctions programs and blocked property handling for on-chain assets. Experience reporting to a board or joint venture governance body. Series 14 (Compliance Official) registration. Experience working with a clearing firm under a fully disclosed clearing arrangement. A JD or a similar legal background. Perks & Benefits Competitive total compensation package Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Argentina (Remote) Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity The Compliance function at OKX is responsible for the overall compliance culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk. Our Argentina and LATAM Compliance team supports local and regional AML/CFT and regulatory compliance activities, ensuring compliance with local and global applicable requirements. What You'll Be Doing Support the MLRO in managing the local AML/CFT compliance framework, ensuring adherence to applicable local and global regulatory requirements. Act as Deputy MLRO for Argentina, supporting local AML/CFT obligations, regulatory reporting, and ongoing compliance activities. Support cross-site transaction monitoring activities and coordinate with global Financial Crime teams as needed. Assist in preparing responses to regulatory information requests, inspections, and inquiries from local regulatory authorities. Support financial crime risk assessments, compliance monitoring, testing, and remediation activities across KYC/CDD, transaction monitoring, sanctions, and blockchain analytics controls. Provide Compliance support across LATAM markets, including KYC/EDD matters, regulatory requirements, and ongoing compliance activities. Work closely with internal stakeholders across Legal, Finance, Product, Risk, and other relevant teams to support compliance processes. Assist in maintaining AML/CFT policies, procedures, and internal documentation, and support reporting to senior management. What We Look For In You 3+ years of experience in AML/CFT compliance within the cryptocurrency industry, financial services, or FinTech. Hands-on experience in transaction monitoring, AML investigations, KYC/CDD, and EDD processes. Hands-on experience in analyzing suspicious transactions and preparing Suspicious Activity Reports (SARs). Knowledge of Argentine AML/CFT regulations and local regulatory requirements, particularly UIF and CNV. Experience supporting regulatory reporting, compliance reviews, and audit processes. Strong analytical skills, attention to detail, and the ability to work independently and manage multiple tasks. Good understanding of the crypto industry and associated financial crime risks. Ability to work effectively with global and regional teams in a multicultural environment. Strong written and verbal communication skills in Spanish and English. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity The Compliance function at OKX is responsible for the overall compliance culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk. Our Argentina and LATAM Compliance team supports local and regional AML/CFT and regulatory compliance activities, ensuring compliance with local and global applicable requirements. What You'll Be Doing Support the MLRO in managing the local AML/CFT compliance framework, ensuring adherence to applicable local and global regulatory requirements. Act as Deputy MLRO for Argentina, supporting local AML/CFT obligations, regulatory reporting, and ongoing compliance activities. Support cross-site transaction monitoring activities and coordinate with global Financial Crime teams as needed. Assist in preparing responses to regulatory information requests, inspections, and inquiries from local regulatory authorities. Support financial crime risk assessments, compliance monitoring, testing, and remediation activities across KYC/CDD, transaction monitoring, sanctions, and blockchain analytics controls. Provide Compliance support across LATAM markets, including KYC/EDD matters, regulatory requirements, and ongoing compliance activities. Work closely with internal stakeholders across Legal, Finance, Product, Risk, and other relevant teams to support compliance processes. Assist in maintaining AML/CFT policies, procedures, and internal documentation, and support reporting to senior management. Nice To Haves Professional certifications in AML/CFT (such as CAMS/ACAMS), Know Your Transaction (KYT), or equivalent recognized certifications. Familiarity with AML/CFT regulatory frameworks across LATAM jurisdictions. Experience using blockchain analytics and transaction monitoring tools. Interest in leveraging AI tools to improve reporting, documentation, workflow management, and productivity. Perks & Benefits Competitive total compensation package Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote Workplace: Remote Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way. A LITTLE MORE ABOUT THE ROLE: We are seeking a Compliance Analyst to provide day-to-day compliance support for Gravie’s level-funded (Comfort) line of business. This role will track and assess new laws and regulations, advise the business on compliance questions, and run risk-based oversight reviews of the operations that touch members and plan sponsors. The ideal candidate brings expertise in health plan compliance. YOU WILL: - Monitor state and federal legislation, sub-regulatory guidance and rule changes under the ACA, HIPAA, MHPAEA and related laws, assess the impact of each change on the level-funded line of business and summarize it in plain language for senior leaders and operational owners - Assess the impact of each change on the level-funded line of business and summarize it in plain language for senior leaders and operational owners - Develop implementation plans with the business and follow them through to operational readiness - Act as the compliance subject matter expert for business partners on complex regulatory questions, giving timely, practical guidance - Represent Corporate Compliance in cross-functional working groups and product development so compliance is built into new processes and offerings - Review ERISA and non-ERISA plan documents, Summaries of Benefits and Coverage (SBCs) and member communications for federal and state compliance - Support compliance with state-based requirements, including assessments, advisor licensing and appointments, and TPA licensing and Secretary of State certifications - Work with Corporate Compliance, Operational Compliance, Privacy and Audit to develop, refine and enforce policies, procedures and internal controls that support audit readiness, including SOC 2 preparation - Design, run and document risk-based oversight reviews and internal audits set by Corporate Compliance and Audit, focused on claims processing, member enrollment and benefit administration - Analyze compliance data to find trends and systemic risks, and report findings and recommended corrective actions to compliance leadership - Track corrective actions to closure and keep clear records of every review and result YOU BRING: - 2+ years of experience in a highly regulated industry such as healthcare or finance, and demonstrated familiarity with regulatory compliance - Experience in compliance or related field - Strong analytical skills and ability to interpret complex regulatory requirements - Excellent written and verbal communication skills with ability to translate legal requirements into actionable guidance - Experience developing and implementing policies and procedures - Proven ability to work independently and prioritize multiple competing demands - Strong project management and organizational skills EXTRA CREDIT: - In-depth knowledge of health plan compliance and regulatory frameworks - Experience with SOC compliance preparation - Healthcare or financial services industry experience WHAT MAKES YOU SUCCESSFUL IN THIS ROLE - Independent problem-solver who can navigate complex regulatory challenges - Strategic thinker with attention to detail - Effective communicator who can bridge technical and business perspectives - Collaborative approach with ability to influence without direct authority - Proactive mindset to address emerging privacy issues before they become problems - Commitment to continuous learning in a rapidly evolving regulatory landscape A LITTLE MORE ABOUT US: - We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space. - We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized. - Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average. - Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve. BENEFITS Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and 2 days of paid paw-ternity leave. JOB APPLICANTS If you apply for employment with Gravie, personal information collected via our applicant tracking vendor is subject to our standalone California Job Applicant Notice at Collection, accessible directly within the application workflow and separate from this Policy.

Location: Warsaw, Mazowieckie, Poland Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. We are looking for a Marketing Analyst to join our Marketing Intelligence & Automation team in Warsaw. Our marketing team already uses an AI-powered decision system to recommend where budget should go. What limits it today is measurement: the sharper our attribution, marketing mix models and experiments, the more decisions we can trust it to make. Your job is to strengthen that foundation and turn marketing data into insights that change how we invest. Responsibilities: Build, maintain and improve attribution models, and support new attribution model releases. Develop and refine marketing mix models (MMM) to understand channel contribution and guide budget allocation. Design and analyze incrementality tests and experiments to measure the true impact of marketing activity. Deliver regular reporting and deep-dive analysis on channel, campaign and user performance across markets. Turn findings into clear, actionable recommendations for marketing stakeholders, linked to acquisition cost, client value and revenue. Define and document marketing metrics and KPIs so the team works from one source of truth. Improve the measurement inputs that feed our AI-driven budget recommendation and automation systems. Partner with MarTech, analytics engineering and, increasingly, Product Marketing and CRM teams on shared measurement needs. Requirements: 3–5 years of experience in marketing analytics, growth analytics or a similar role. Experience in financial services, such as trading, brokerage, fintech or banking is a must . Hands-on experience with attribution modeling and/or marketing mix modeling. Strong SQL skills and experience working with large marketing datasets. Solid understanding of statistics and experimentation, including incrementality testing. Strong critical thinking: you structure ambiguous problems, challenge assumptions and connect analysis to business impact. Ability to explain complex findings clearly to non-technical stakeholders. Nice to have: Python (or R) for analysis and modeling. Hands-on experience with Tableau (or a similar BI tool) and analytics platforms like Google Analytics 4. Experience using AI tools or LLMs for analysis or workflow automation, at work or in your own projects. What you will get in return: Competitive Salary : We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. Work-Life Harmony : Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid Annual Performance Bonus : Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance. Generous Time Off : Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. Employee Referral Program : Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. Comprehensive Health & Pension Benefits : From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! Workation Wonderland : Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! Volunteer Days : Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.

Location: Remote - European Region Workplace: hybrid Coinspaid Solutions is a fintech company building blockchain payment infrastructure for the global economy. We design, implement, and scale payment systems that connect digital assets with real-world financial operations. Our solutions help businesses and financial institutions operate efficiently in the evolving digital asset landscape. For over 11 years, we’ve been developing products that bring crypto payments closer to mainstream adoption. Today, our team includes 350+ professionals working remotely across multiple countries. We combine the pace of fintech with a long-term approach to building products, teams, and careers. As a remote-first company, we give people flexibility in how they work while maintaining strong collaboration and shared ownership across teams. 🏆 In 2026, Coinspaid was recognized as Best Corporate Culture in the Blockchain Industry in Europe, reflecting our focus on ownership, trust, and collaboration.   We are looking for an External Accounting Specialist to provide full-cycle accounting and reporting support for an assigned portfolio of initially 3–4 legal entities with the potential to expand over time within an international group of 10–12 entities. The specialist will coordinate outsourced accounting providers, maintain and review internal accounting records, oversee monthly and annual closing, review reconciliations, support audits and participate in the development of AI-assisted accounting and crypto-accounting processes. The role requires a hands-on accountant who can work independently, identify and resolve accounting issues, and establish or restore accounting records when an external provider does not maintain complete or reliable books. Key responsibilities: Provide full-cycle accounting and reporting support for assigned legal entities, ensuring accurate, complete, timely and audit-ready records. Act as the primary point of contact for external accountants, auditors, ensuring timely exchange of accounting and supporting documentation. Coordinate month-end and year-end closing and review financial reporting packages, including Trial Balance, Balance Sheet, P&L, General Ledger and supporting schedules. Review of bank, crypto-wallet, intercompany, AP, AR and other balance-sheet reconciliations (HLPP review) ensuring consistency between internal records and external accounting books. Where accounting records are incomplete or unreliable, establish or restore the accounting framework, including the chart of accounts, opening balances, supporting documentation, reconciliations, controls and reporting processes. Coordinate statutory and/or Group audits, prepare supporting documentation and reconciliations, respond to auditor requests and ensure timely resolution of outstanding matters. Use company-approved AI tools to analyse accounting data, identify unusual transactions and inconsistencies, validate financial statements and support accounting controls. Design, develop, test and document AI-assisted accounting and crypto-accounting processes, including scripts, accounting rules, data-processing logic, automated reconciliations and reporting tools. Support implementation and automation of accounting solutions across the Group. Maintain organised accounting documentation and audit trails, act as a backup for the manager when required, and perform other accounting and finance responsibilities assigned to the department. Requirements: Relevant education in accounting, finance, economics or a related field. Experience with full-cycle accounting, month-end and year-end closing. Ability to review the trial balance, Balance Sheet, P&L, general ledger, and journal entries. Strong experience with bank, balance-sheet, AP, AR and intercompany reconciliations. Ability to establish accounting processes from the ground up and restore incomplete accounting records. Experience coordinating outsourced accounting providers and external auditors. Good understanding of accounting documentation, internal controls, and audit requirements. Strong Excel skills and practical experience with accounting systems. Ability to work independently, manage several legal entities, prioritise tasks, and meet reporting deadlines. Strong attention to detail, analytical thinking, ownership, and problem-solving skills. Ability to communicate professionally with international accounting providers, auditors, and internal stakeholders. English sufficient for daily professional communication and review of accounting documentation. Willingness to learn crypto accounting and use AI-assisted accounting and automation tools. Nice to have Previous experience in crypto, fintech, digital assets, payments, or blockchain-related companies. Experience reconciling crypto wallets, exchanges, payment providers, and accounting ledgers. Experience with QuickBooks, 1C or similar accounting systems. Experience using AI tools for accounting analysis, transaction classification, reconciliations, or financial reporting. Experience working with multiple legal entities and jurisdictions. Experience with statutory or group audits. Experience with intercompany loans, interest calculations and foreign-currency accounting. Why should you choose Coinspaid? You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events   Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Location: Paphos, Cyprus About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Role Do you enjoy working in a dynamic and rapidly changing work environment, have a customer-oriented mindset and love working with a fun team? Are you experienced in the retail or grocery sphere? If your answer is yes - then read further! At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. The role you are looking at is a part of Wolt Market - our very own grocery stores that deliver unprecedented convenience and world leading customer experience. People across Cyprus can order their groceries and have them delivered to their doorstep in lightspeed! With Wolt Market, our focus is to find the right products by being customer oriented, offering the fastest delivery available and being the company that changes the future of grocery shopping. This role plays a key part in our growth in Cyprus. We are now searching for a full time Store Manager to lead our store in Paphos, Cyprus. In this role, you’ll find yourself in a challenging but well supported position. You have a strong influence on how your city operations will look like. We offer a unique opportunity to join one of the fastest growing companies in Europe and have an actual impact on how Wolt Market will look in the coming years. If you have experience in team leading and enjoy working with a fun group of people, then you might be just the person we are looking for! What you’ll be doing You will work closely together with the team, including 2-4 Shift leads which you will guide, coach and develop within the frames of Wolt leadership values. To do this, you will make sure the Shift Leads have the knowledge and right tools to be able to run the store's day-to-day operations smoothly, this might include staying on top of freshness, inventory and stock management. You’ll be responsible for hiring, training, providing daily feedback and also holding 1v1 twice a year to grow the individual, go through performance and set new goals. Day-to-day in this role you’ll: Leading, growing and motivating a team. Creating an environment where your colleagues can do their best work and have fun while working. You’ll get to plan team events with your team - something we aim to do a couple times a year. Your main goal will be to consistently improve the way our stores operate with help from the Operations Team. Fast delivery and fluent operations consist of a large field of things, this is one of the key day to day operational tasks you’ll be working with. Continuous participating in internal and external meeting The role also includes a good collaboration and communication with other functions at Wolt to make sure we have a good selection & right products on sale. Monitoring shrink levels and control the amount of food that goes to waste. Managing shift scheduling. Handling incoming goods and order of the store. Overseeing everything the store and colleagues need to enable fast growth. This includes everything from ordering office supplies or IT-devices to a complete set of new fridges. Our humble expectations Leadership experience and demonstrate the ability to motivate others. Experience from working in a grocery store is a plus. A fast learner with the ability to multitask. Proactive and service-minded are words that describe you. You have a can do-attitude and enjoy the idea of working in a fast-paced entrepreneurial environment. You are able to work both during the day, evenings and weekends. Data-driven and analytical, you understand data to help improve and develop. A fluent level of English is required. Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team redefining grocery shopping, then click below to apply and get the conversation going! We will be reviewing applications on an on-going basis, so if this sounds like an opportunity you want to pursue, apply today! Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Helsinki, Finland; London, United Kingdom - Deliveroo About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the role Wolt is on a growth journey as part of the DoorDash family, together with Deliveroo. Drive is our delivery-as-a-service business: we let merchants offer fast, reliable delivery in their own channels (their webshop, app or ordering system), powered by the Wolt and Deliveroo courier networks. We're now bringing Drive across Wolt and Deliveroo countries together into one EMEA business , with one team and a clear ambition: grow fast and build a business that stands on its own feet. A growing share of that scaling comes from outside restaurants: grocers, retailers, pharmacies and other eComm players who want on-demand and same-day delivery for their own customers. Their needs can be very different from restaurants: bigger baskets, scheduled and batched deliveries, larger and heavier items, longer distances and more complex integrations. This brings us to you, our next Manager, Strategy & Operations for Grocery & Retail Drive. You'll own this segment across EMEA, from strategy and planning to pricing, product requirements and performance. You'll work hand in hand with our regional commercial teams, who own the partner relationships, and with Product, Logistics, Finance and our Marketplace grocery & retail teams. You'll join the Drive EMEA Strategy & Operations team and report to the Director of Strategy & Operations, Drive EMEA. What you'll be doing Own the Grocery & Retail strategy and annual plan for Drive EMEA: where we play, which partners we go after, and the growth and profitability we commit to. Set the commercial framework for the segment, including pricing guidelines, deal economics and investment cases for our largest partnerships, together with the regional commercial leads. Act as the voice of grocery and retail partners towards Product and Logistics, turning commercial needs such as scheduled delivery or large and heavy items into sized, prioritized requirements. Run performance management for the segment: track growth, unit economics and service levels for our biggest partners, spot what's off and drive the fix with the teams involved. Shape how Drive works with our Marketplace grocery & retail teams , so partners get one joined-up offer from us. Turn wins into playbooks that country teams can reuse, from the first pitch to launch and scale-up. Our humble expectations 5+ years of experience in strategy & operations, business development, commercial roles or management consulting, with a track record of owning outcomes, not just recommendations. Strong commercial and analytical skills: you can build a deal P&L or a segment plan from scratch, and defend it in front of a partner's leadership or our own. Proven ability to get things done across a matrix organization without direct authority, working with regional teams, Product, Logistics and Finance. You use AI tools (e.g. Claude, ChatGPT, Gemini) in your daily work, for example in analysis, planning and ways of working, and look for new ways to apply them to elevate you - whilst maintaining strong judgement that comes from personal understanding complex systems Structured thinking and clear, concise communication in English, both written and spoken. Willingness to travel occasionally across our EMEA markets. Seen as a strong advantage: Background in retail, grocery, e-commerce, logistics or on-demand delivery, either in-house or advising companies in these sectors. Experience with B2B platform or delivery-as-a-service businesses. Why you'll love it 🚀 Global and growing fast: Be part of a fast-moving business at the moment it's being built, across two of Europe's best-known delivery brands 🛒 A segment to own: Work with some of the biggest grocery and retail brands in Europe, and see what you write end up on the product roadmap 🤩 Ride of a lifetime: Accelerate your career with direct access to DoorDash's global Drive experience and room to grow as the segment scales 💪 Instant impact: Take ownership and make a difference 💙 Big hearts and small egos: Surround yourself with smart, friendly people Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply, make sure to add your CV in English and get the conversation going! We will be reviewing applications on a rolling basis. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Acts as the senior Rewards Business Partner and connective layer between Nebius' global Rewards operating model and its global Infrastructure organization. Owns delivery of company-wide rewards programs into Infrastructure, ensuring effective execution, adoption, and alignment with global principles, governance, and controls. Brings deep understanding of Infrastructure priorities, talent needs, and external market trends to proactively recommend evidence-based improvements or adaptations. Any changes are developed with global program owners and agreed through established governance, preserving one coherent Nebius operating model. Key Responsibilities: Owns end-to-end delivery of Nebius' global rewards programs for Infrastructure, translating enterprise frameworks into clear plans, decisions, communications, and manager actions that work effectively for the organization. Serves as a trusted advisor to senior Infrastructure leaders, HR Business Partners, and Talent Acquisition, balancing strong advocacy for Infrastructure needs with stewardship of company-wide consistency, fairness, affordability, and governance. Leads evaluation of new and evolving Infrastructure roles within Nebius' global job architecture, recommending grade, salary range, incentive opportunity, and equity treatment and escalating genuine framework gaps to the relevant global owners. Leads Infrastructure delivery across merit, bonus, and equity cycles, coordinating global timelines and requirements, guiding leadership calibrations, resolving complex issues, and ensuring accurate, equitable, and on-budget outcomes. Monitors external market trends and internal Infrastructure workforce data across geographies, roles, pay mix, and incentive practices; identifies emerging gaps and converts the evidence into practical recommendations for global program owners. Applies Nebius' global equity frameworks across Infrastructure, ensuring consistent treatment while surfacing evidence-based proposals for geographic, performance, or critical-talent differentiation through the appropriate governance channels. Builds and scales local compensation policies as Infrastructure expands into new countries and regions, ensuring new-market pay practices align with global governance while reflecting local market realities. Develops executive insights on pay positioning, incentive outcomes, equity value, budget impact, hiring trends, and retention risk, connecting Infrastructure-specific signals to enterprise priorities and clear decisions. Tracks delivery, adoption, and effectiveness of rewards programs in Infrastructure, identifies structural pay, incentive, compression, or equity risks, and leads corrective action with global program owners and business stakeholders. Acts as the two-way bridge between Infrastructure and global Rewards: brings business insight into enterprise design, influences priorities and practical adaptations, and translates, supports, and explains global approaches within Infrastructure. Leads manager enablement and guides less experienced rewards professionals. Requirements: Extensive progressive experience in compensation or total rewards, including substantial business-partnering experience with Engineering, Infrastructure, or other technical functions in a complex multinational organization. Advanced, wide-ranging knowledge of base salary, equity programs, market pricing, job evaluation, and annual compensation planning, with depth in technical/infrastructure reward models and international, multi-country pay practices. Advanced analytical and financial modeling skills, with the ability to evaluate ambiguous variables, assess business and cost implications, and turn complex data into clear executive recommendations. Demonstrated success influencing and constructively challenging senior stakeholders while balancing business advocacy with enterprise stewardship, global consistency, and sound governance. Executive-level communication, consulting, and facilitation skills, with the ability to align diverse stakeholders and explain sophisticated rewards concepts with clarity and commercial relevance. Experience owning delivery of cross-functional rewards programs in a matrixed global model and using compensation, market, and business intelligence tools to drive scalable outcomes. Experience in a publicly listed, global, fast-growing technology or AI organization preferred; experience guiding other rewards professionals and a Certified Compensation Professional (CCP) designation are advantageous. #LI-CH1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email address to access the portal. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: CPT-11662 Construction Project Administrative Assistant Independent Contractor – CPT-11662 Construction Project Administrative Assistant/Business Support VA/Any (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. An established commercial fireproofing contractor is seeking a detail-oriented Business Support VA to assist its project management team with project documentation, subcontractor compliance, billing support, reporting, and recurring administrative deadlines. The company manages approximately 100 projects annually and works with numerous general contractors, each with different documentation requirements and construction-management systems. The ideal candidate will bring strong administrative and project-coordination skills, excellent attention to detail, and the ability to work independently across multiple projects and processes. Direct construction experience is beneficial but not required, as the company has established workflows and will provide training. The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: Project Documentation & Coordination Maintain project records, task lists, and deadlines in ClickUp Organize plans, specifications, forms, and project correspondence Prepare, track, and follow up on project submittals Upload and retrieve documents through general contractor portals Use Bluebeam to review, markup, combine, organize, and export PDFs Coordinate documentation requests with project managers and general contractors Monitor and review incoming project-related emails and requests, which will make up a significant portion of the role, to determine their relevance, identify required actions, and route them to the appropriate person. Conduct preliminary research on project-related inquiries and requests, and coordinate with the estimating team when items require further review or technical input. Access general contractors’ Procore portals as an invited user to retrieve project information and assist with documentation and coordination requirements. Assist with the review and administrative processing of ASIs, change orders, and pricing requests received through general contractor portals. Assist with documenting established workflows, recurring procedures, and solutions to common issues as the newly created position develops. Billing, Insurance & Compliance Support Assist with progress billing and draw documentation using approved records Prepare supporting documents and coordinate lien-waiver requests Request and track certificates of insurance (COIs) Assist with company prequalification and contractor registration requirements Prepare weekly Davis-Bacon/certified-payroll documentation for management review Compile monthly OCIP/CCIP insurance reporting information as directed Assist with preparing and submitting the company’s insurance documentation to general contractors and customers when required for project compliance. Assist with OCIP-related administrative and compliance requirements, including documentation and coordination related to payroll and billing. Training will be provided by the client. Assist with submitting and tracking project-related lien waivers through general contractor portals, as needed. Project Closeout & Administrative Support Organize warranties, closeout packages, and required project documentation Track missing documents, outstanding submissions, and recurring deadlines Maintain accurate project files and supporting financial records Coordinate routine signature requests through DocuSign Follow up with internal staff and general contractors regarding incomplete items Provide regular updates on project status, completed tasks, and outstanding requirements Assist with organizing and providing project warranty information and other closeout documentation required by general contractors or customers. Help develop and document procedures and training materials for assigned responsibilities to support consistent execution and facilitate future staff onboarding and knowledge transfer. Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: Administrative, project coordination, or operations-support experience required\ Strong document-management and deadline-tracking experience required Bluebeam or comparable PDF editing and markup experience strongly preferred ClickUp or comparable project-management software experience strongly preferred Strong Google Workspace and spreadsheet proficiency required Construction project administration experience preferred but not required Familiarity with Procore, Autodesk Construction Cloud, CMiC, or similar systems is a plus Construction billing, lien waivers, COIs, or contractor compliance experience is a plus Certified payroll or OCIP/CCIP reporting experience is a plus Strong attention to detail and ability to maintain confidentiality required IDEAL CANDIDATE PROFILE Highly organized, accurate, and detail-oriented Proactive with strong follow-through across multiple projects Comfortable navigating different systems and client-specific procedures Able to work independently and solve routine administrative problems Strong written and professional spoken communication skills Resourceful and capable of adapting when instructions or processes vary Dependable with deadlines and confidential information Interested in growing into a long-term, full-time position APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED ClickUp – Preferred Bluebeam Revu or Comparable PDF Software – Training can be provided Google Workspace / Gmail QuickBooks Online – Familiarity Preferred; Training can be provided DocuSign Procore / Autodesk Construction Cloud / CMiC – Training can be provided Microsoft Excel / Google Sheets Work Schedule Contracted Hours per Week: 20-30 Hours/week ( Expected to increase toward 40 hours/week based on performance and workload ) Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: 5 AM-9 AM MST Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Business Support REQUESTED EXPERIENCE TIER LEVEL: Any Contracted Hours per Week: 20-30 Hours/week ( Expected to increase toward 40 hours/week based on performance and workload ) Daily Working Time: 5 AM-9 AM MST Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE:  Level A-C (Strong Written and Professional Spoken English Required) REGION PREFERENCES: Any What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Location: Split, Croatia About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Role The role you are looking at is a part of Wolt Market - our very own grocery stores that deliver unprecedented convenience and world leading customer experience. People across Croatia can order their groceries and have them delivered to their doorstep in lightspeed! With Wolt Market, our focus is to find the right products by being customer oriented, offering the fastest delivery available and being the company that changes the future of grocery shopping. This role plays a key part in our growth in Croatia. We are now searching for a full time Store Manager to lead one of our stores in Split, Croatia. In this role, you’ll find yourself in a challenging but well supported position. You’ll have a strong influence on how your city operations will look like. What you’ll be doing You will work closely together with the team, including 2-3 Shift leads which you will guide, coach and develop within the frames of Wolt leadership values. To do this, you will make sure the Shift Leads have the knowledge and right tools to be able to run the store's day-to-day operations smoothly, this might include staying on top of freshness, inventory and stock management. You’ll be responsible for hiring, training, providing daily feedback and also holding 1v1 on a regular basis to grow the individual, go through performance and set goals. Day-to-day in this role you’ll: Leading, growing and motivating a team. Creating an environment where your colleagues can do their best work and have fun while working Your main goal will be to consistently improve the way our stores operate with help from the Operations Manager. Fast delivery and fluent operations consist of a large field of things, this is one of the key day to day operational tasks you’ll be working with. Managing shift scheduling. Handling incoming goods and order of the store. The role also includes a good collaboration and communication with other functions at Wolt such as Category & Supply team. Overseeing everything the store and colleagues need to enable fast growth. This includes everything from ordering new pencils or IT-devices to a complete set of new fridges. Our humble expectations* You have previous leadership experience. A fast learner with the ability to multitask. You have a can do-attitude and enjoy the idea of working in a fast-paced entrepreneurial environment. Experience from working in a grocery store is a plus. Fluent level of Croatian and English. Proactive and service-minded are words that describe you. Next steps* If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team redefining grocery shopping, then click below to apply and get the conversation going! We will be reviewing applications on an on-going basis, so if this sounds like an opportunity you want to pursue, apply today! Please note that we do not accept applications coming through email due to GDPR. Make sure to apply through our careers page! Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Dublin Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is looking for a driven, strategic, and entrepreneurial Sales Development Manager to lead and scale our SDR team across EMEA. This will be the first dedicated SDR leadership role in the region, responsible for building a high-performing team that generates pipeline across leading law firms, professional services organizations, and in-house legal teams. You will own hiring, onboarding, coaching, and performance management while partnering closely with Sales, Marketing, and RevOps to build a scalable pipeline generation engine. You’ll also help shape Harvey’s regional go-to-market strategy by refining targeting, messaging, and outbound programs that resonate with the European legal market. If you’re excited by the idea of building teams, developing talent, and driving impact at a fast-growing AI company transforming legal work, we’d love to meet you. WHAT YOU'LL DO - Own regional pipeline performance: Drive the SDR team’s contribution to pipeline generation across inbound and outbound channels, ensuring strong alignment with EMEA sales targets. - Build and scale the team: Hire, onboard, and develop a high-performing SDR team, helping establish the structure, operating cadence, and performance standards for the EMEA region. - Coach and develop SDRs: Deliver hands-on coaching through regular 1:1s, call reviews, and deal strategy sessions to accelerate rep development and performance. - Design onboarding and enablement: Partner with GTM enablement to create onboarding and ongoing training programs that ramp SDRs quickly and build strong product, industry, and prospecting expertise. - Partner cross-functionally: Collaborate closely with Sales, Marketing, and RevOps to improve lead routing, campaign effectiveness, and pipeline conversion. - Refine targeting and messaging: Continuously test and improve outbound strategies, messaging, and account targeting based on ICP fit and performance insights. - Leverage data and tools: Use platforms such as Salesforce, Salesloft, LinkedIn Sales Navigator, Gong, and ZoomInfo to track team performance and optimize workflows. - Build a strong team culture: Foster a high-performance culture grounded in ownership, learning, and collaboration. WHAT YOU HAVE - 4+ years of experience in SaaS sales or business development, with at least 1–2 years of direct SDR or BDR leadership experience. - Proven success in building and managing pipeline-generating teams in a high-growth, outbound-focused environment. - Deep understanding of modern sales development tools (e.g., Salesforce, Salesloft, LinkedIn Sales Navigator, Gong). - A data-driven mindset with the ability to analyze team performance, uncover insights, and iterate quickly. - Experience building SDR processes from scratch—comfortable in ambiguity and excited to be the architect of something new. - A coaching-first leadership style: you invest in people, celebrate wins, and hold high standards with care. - Excellent communication skills and executive presence—both internally and externally. - Passion for AI, innovation, and the transformation of knowledge work—especially in professional services and legal. - Influence tech stack - develop recommendations and drive implementation - Prior experience selling into legal or professional services firms is a plus but not required. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge. We work from high-level requirements where programmers are expected to gain an intimate understanding of the business. We strive for an environment where developers have the autonomy to pursue business solutions without arbitrary management constraints. We are a group of polyglots and technologists always seeking to find the right tool for each problem. Broadly, the development teams at DRW believe in rapid deployment and feedback, automated testing, and cohesive, transparent, lightly coupled service architectures. The Pricing and Derived Data team within UP is seeking an outstanding Senior Software Engineer to join us in building a new data platform that provides intra-day and end-of-day prices across the firm. The team is responsible for pricing millions of instruments across many asset classes and exchanges in near-real-time. Clients range from trading systems needing low-latency updates to researchers working with large historical datasets. Our current architecture is written mostly in Elixir, which we enjoy and derive great value from. Inter-service streaming communication is over gRPC and the data layer comprises PostgreSQL, Kafka, and ClickHouse. Demand for our services is growing rapidly across a variety of access patterns, and we are now building a comprehensive data platform as an extension of our existing system to meet this demand. This position presents an opportunity to shape the future direction of our work. The successful candidate will play a key role in answering questions such as: How do we guarantee that a client sees the same prices whether they query the warehouse, subscribe to a stream, or call our gRPC API? How do we let clients load a snapshot and then switch to live updates with no gaps or duplicates? What parts of our systems should stay in Elixir, and where should we consider other technologies? Experience We are looking for strong senior generalists who have a considerable experience building data products. Candidates should be able to provide examples of significant projects that they have led from design through to operating in production, including responsibility for architectural decisions. We are interested in hearing from candidates who have had to choose between technologies and can talk to us about why they would or would not make that choice again. Relevant areas include event streaming, change data capture, open table formats and stream and batch processing. Associated technologies include Kafka, Delta Lake, Iceberg, ClickHouse, Spark, and Flink. We are interested in a deep understanding of the architectural requirements that these technologies are suitable for rather than years of experience in a specific one of them. Prior experience in Elixir or in the financial domain is not required, but candidates should be interested in working in these areas. Examples of projects you may have led include: Designing and building a high-volume and/or low-latency data processing system, including ingestion, storage, and distribution. Scaling an ingestion pipeline handling thousands, or tens of thousands of events per second on a single node (optimisation) and/or across multiple nodes (distribution). The operation and support of a data product which has time- and correctness-sensitive delivery requirements. Personal traits We value: Humility and respect for others, and trust in our teammates. The ability to learn, adapt and grow. The capacity to independently drive projects to completion, but a preference to collaborate with teammates. Excellent listening and communication skills The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-SH1