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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 Harvey's Custom Solutions team builds tailored AI tools for leading strategic customers. The team scopes, designs and implements custom agents, playbooks and prompts to address high-priority use cases. Each solution is built around a customer's specific needs and stored in its Harvey instance for scalable access across the organization. Team members have opportunities to travel onsite and build relationships with senior stakeholders to support the rollout of these tools. They also partner with Harvey's Go-to-Market and Product teams to advance the platform by gathering feedback, surfacing opportunities and piloting features. What You'll Do - Establish a clear understanding of Harvey's platform and the process for building solutions (you're not expected to be a platform expert on day one, but you should be interested in becoming one). - Scope, design and build custom agents, playbooks and prompts for key strategic customers. - Build strong relationships with senior stakeholders to understand their requirements, map their processes and turn needs into working solutions. - Prototype, test and iterate, including piloting Harvey features prior to general release. - Communicate market feedback to Product and Engineering, surfacing the opportunities for enhancements that will be most impactful. - Partner with Harvey's other Legal Engineering and Go-to-Market teams to deliver measurable growth. - Create and maintain reusable assets, capturing best practices to speed up future deployments. What You Have - Qualified lawyer in England & Wales - 3+ years of experience as a practicing lawyer at a top-tier firm and/or in-house legal team. - Curiosity about testing various approaches, evaluating deliverable quality and optimizing for customer outcomes and experience. - Strong communication skills and a track record of partnering with senior stakeholders to drive results. - Interest in driving positive change in the legal industry through AI. - Experience using AI tools in legal practice is a plus. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-LM1 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: Budapest Workplace: hybrid About Lyra Lyra Health is the leading provider of mental health solutions for employers supporting more than 20 million people globally. The company has delivered 13 million sessions of mental health care, published more than 20 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. Then role is to provide high quality and professional counselling and information support services to employees of client companies via telephone, live chat and structured counselling sessions. You will be responsible for the initial assessment of the client, clinical case management and all follow up administration activities.  This is a permanent hybrid position and the job holder will be based at home with onsite requirement every Monday, as a minimum, in the Lyra Hungary head office in Budapest.  The role is 40 hours per week, Monday to Friday. Key Responsibilities To provide the first point of contact for employees accessing Lyra Hungary services To provide all the services to which the caller is entitled to in a professional and respectful manner To accurately capture all information on the database pertinent to the clinical management of the case To adhere to all clinical protocols, procedures and operational standards as laid out by Lyra To keep abreast of developments within client organisations and with changes to service offerings To attend all relevant meetings, training and staff support groups To attend regular and scheduled counselling supervision with the external counselling supervisor Carry out any other relevant work related duties as required by the Clinical Lead. Qualifications Masters Psychology degree is essential Minimum of two years experience in counselling is preferred Postgraduate training for Expert Psychologists in Counselling would be an advantage Experience Experience working in an EAP environment will be an advantage, but not essential Experience of providing telephonic and live chat counselling and support About You Skilled in providing Solution Focused Therapy to clients. Must be able to undertake therapy in a minimum of two languages - Hungarian and English. Will have the ability to merge Clinical and EAP focus. Organised with the ability to plan and prioritise workload effectively. Continuous improvement mind-set – looking at opportunities to innovate & improve. Honest, loyal, and full of integrity. Takes ownership and is a pragmatic problem solver. Ability to ensure accuracy of data and maintain confidentiality, with high attention to detail. Excellent verbal and written communication. Ability to follow procedures accurately and record actions taken at all stages. Is passionate, enthusiastic, and excited about the opportunity, recognising where they can add value. Strong time management skills Flexible and adaptable to a fast-paced environment. Ability to work to deadlines and under pressure. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law. By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice."

Location: Berlin, Germany 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. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. 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: Zurich, Switzerland 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. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. 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: London, United Kingdom 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. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. 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: Cyprus Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Kuala Lumpur, Malaysia; Indonesia; Singapore Workplace: fully We're Osome - an international fintech startup making the lives of entrepreneurs easier. We help thousands of businesses kick admin, accounting and bookkeeping out of their day-to-day, so they can spend more time on what's important to them. We've developed a unique solution that combines SaaS with a human-in-the-loop approach to provide full-fledged services in real-time. We’re experiencing rapid growth in both client base and team, which now comprises around 500 people across our offices worldwide. As we continue to scale, we’re looking for more bright minds who are excited to make a real impact by solving complex problems. What to expect: Intelligence builds the AI capabilities no single team at Osome should carry alone, and helps every other team ship AI well. It works in three modes. It owns cross-cutting capability. It enables product teams by pairing with their engineers, so the pattern transfers and the team runs it afterwards. It incubates only by exception: building inside another team's area when that team has no capacity, always with a written hand-back plan. This is a hands-on PM role. You'll find problems by talking to end users, dig into the data in BigQuery and Postgres to prioritise, prototype cheaply before committing engineering effort, and ship small fixes yourself. You'll also be the team's main liaison with Operations. At a glance You'd own: client and agent assistants (e.g. Maria, our client-facing bot, and the workflows it runs), document and accounting intelligence (e.g. document recognition, AI accounts review, our XBRL agent), and the shared AI foundation (evaluation and safety, memory, Osome MCP and model choices). You'd work with: five engineers, plus shared design and an analyst. Product teams across Osome and our operations teams are your customers. The problem to solve: AI is spreading across our teams faster than shared standards are. Your job is to stop every team reinventing evaluation, safety and memory, while our core AI products keep improving quarter on quarter. What you'll do: Own the Intelligence roadmap, OKRs and delivery, with two or three big bets each quarter. You make the prioritisation calls, own the business outcome behind the backlog, and write the release notes when things ship. Set the evaluation bar for AI across Osome: eval datasets, confidence thresholds, human-review sampling and go/no-go gates. With our Security team, set the safety and data-handling bar for AI across Osome: escalation rules, pre-action checks on agents, fail-open vs fail-closed behaviour, privacy and retention, client data isolation, and provider governance (e.g. zero data retention agreements). Define the success metrics for each AI product before it ships, then keep checking the data yourself after launch to see whether it's working. Brief the analyst on what to build, and review the result. Use that evidence to make model and provider calls, e.g. benchmark a new model against our own labelled documents before switching. Break epics into clear stories and tasks that engineers can pick up without a meeting. Pair with product teams' engineers to build AI features, and define what "successfully handed over" means. Be the team's liaison with Operations: run training and feedback rounds, collect baseline data, and drive adoption until the AI version beats the manual process. Run a small research track: test new techniques and approaches (e.g. retrieval, memory or agent patterns) on our own problems, and write up what we should adopt and what we should skip. Represent this team's priorities to senior stakeholders. As the team grows, mentor other PMs and help manage them. Who you are: Evaluated against our PM capability framework. At the Senior PM level, that means: Strategic impact: you can define and drive a strategy spanning 12 months or more for a platform-style team whose customers are other teams, tied to a company-level goal such as gross margin. Domain ownership: you own the OKRs, roadmap and business outcome of a complex, ambiguous, cross-functional area. You understand applied LLM/ML products deeply (evaluation, retrieval, memory, agent safety), and can become credible in our accounting and operations domain within two quarters. Collaboration: you drive high adoption of new tools with operations teams, including the processes needed to run them. You build consensus among senior leaders with conflicting goals, and you can say no while leaving the stakeholder feeling heard. Problem-solving: you map ambiguous, system-level problems, and know when a rule, a classifier or an LLM is the right tool. Execution: you reliably ship complex, cross-functional launches involving Operations and other product teams. You prototype to de-risk before committing engineering time, and you spot risks early. AI-literacy: hands-on well beyond prompting. You build prototypes and ship small PRs with AI coding tools, build eval datasets and run model experiments, read traces, and judge where models fail. Leadership: you shape direction across teams you don't manage, improve how the team works, and are ready to mentor at least one other PM as a player-coach. What you bring AI/ML features shipped to production, with quality measured after launch (accuracy, coverage, deflection). Experience building evaluation datasets and running model experiments: thresholds, go/no-go gates, human-in-the-loop decisions, and reading traces in an observability tool (we use Langfuse) to see where models fail. Experience shipping AI features that handle sensitive or financial data, and deciding when they should escalate to a human or stop. Daily use of AI coding tools (e.g. Claude Code, Codex, Cursor) to read code and ship small changes. Strong SQL. You can pick the right metrics for a product and explain what you need to an analyst. Data modelling is not required. Experience working directly with operations teams: running training, collecting feedback, and proving time saved against a manual baseline. A track record of good calls under ambiguity, and of checking afterwards whether they were right. (Nice to have) Setting company-wide safety and data-handling rules for AI: fail-open vs fail-closed policies, privacy and retention, and client data isolation, including knowing when a new AI vendor needs a security review before it sees any data. (Nice to have) Bookkeeping or accounting literacy: enough double-entry, chart-of-accounts and GST/VAT knowledge to judge whether an AI accounts review or document check is right. Either a qualification or hands-on bookkeeping experience counts. (Nice to have) Document AI/OCR in production: classifying or extracting invoices, bank statements and receipts, and the trade-offs between coverage, accuracy, confidence thresholds and cost. (Nice to have) Agentic systems or MCP in production: agents or tools that take real actions, with permissions, human approval steps and multi-step evaluation. Our Benefits Multi-cultural environment to enhance your global perspective. Learning opportunities and mentorship from peers and leaders. Flexible working arrangement; Hybrid working arrangement An agile working model focused on goals and performance. Equal Opportunity Statement At OSOME, creating a culture where individuals of all backgrounds feel comfortable really matters. Everyone who applies will receive fair consideration for employment. We do not discriminate based upon race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying. We want to ensure that we represent the diversity of talent in the society we live in today. If you have any accessibility requirements that would make you more comfortable during the application and interview process, please let us know so that we can support you.

Location: Poland Workplace: remote Creatio is one of the fastest-growing AI software companies, with quarterly bookings reaching 255% of prior-year results, reflecting strong enterprise demand for AI CRM and workflow automation.With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a  Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for a Regional Marketing Manager, you’ll act as the primary driver to execute integrated marketing campaigns that support the various business goals identified in our annual operating plan. You will be responsible for ideating, facilitating, and executing campaigns that drive demand generation and increase brand recognition for our market-leading technology solutions You should be a strong team player with excellent communication skills, eager to learn and grow, and ready to make an impact from day one. Most importantly, we’re looking for individuals who share our values, believe in collaboration, and want to be part of a workplace where creativity, accountability, and ambition are celebrated.The role is based in Warsaw, Poland.Responsibilities:Planning, creating and executing high-performing marketing programs.Support and align with the sales team’s priorities and focus on driving pipeline.Understand and deploy different strategies and plans to reach new prospects and drive opportunities expansion.Orchestrate multichannel campaigns, leveraging channels and tactics such as digital, social media, web, virtual and in-person events, external exhibitions, email and collaboration with 3rd party agencies. Also, support and execute account-based strategies and programs.Plan, coordinate, and deliver complex marketing initiatives, ensuring effective cross-functional collaboration to achieve business objectives.Set goals and define metrics for each marketing campaign, including lead generation, conversion rates, and pipeline impact.Track and analyze campaign performance, conduct post-campaign evaluations, and provide insights and recommendations to continuously optimize future marketing initiatives.Requirements:3+ years of B2B marketing experience.Fluency in written and conversational English.Strong campaign orchestration and experience working with cross-functional teamsHands-on experience prioritizing running multiple initiatives, campaigns, and deliverables simultaneously.Self-motivated, who can work independently and proactively to resolve issues and take ownership of tools and processes with minimal supervision.It would be a big plus if you have:Marketing experience in SaaS or enterprise software.Experience planning and executing marketing initiatives around large-scale industry conferences and external events.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: UAE Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for a highly motivated, self-starter Strategic Account Executive who is passionate about voice technology and how it is changing businesses. We don't just sell a product or custom-level solutions; we are partnering with our strategic enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will: - Build and manage a growing portfolio of strategic enterprise accounts in the UAE to help ElevenLabs meet its revenue goals. - Identify and develop high-value business opportunities that align with ElevenLabs' product offering and roadmap. - Generate leads, negotiate complex contracts and close sales in collaboration with the Growth team. - Be responsible for KPI and sales performance tracking, providing weekly updates to the wider ElevenLabs team. Who you are We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You'll strive with us if you: - Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech. - Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. - Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. - Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations. - Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside. What you bring - Proven track record of meeting & exceeding sales targets in a fast-paced environment, selling into large and strategic enterprises in the UAE - +10 years of previous experience in sales in a SaaS organisation, with experience managing strategic, complex, deal cycles. - Extensive experience working in the UAE - Expertise or willingness to learn everything about Voice AI industry and how ElevenLabs' solution can help. - Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization. - A hybrid of customer & product-driven mentality that prioritises client impact, satisfaction & scale. - The role is based in the UAE - Plus: Proficiency in Arabic. #LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: US Workplace: Remote ABOUT MORPHO Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.   WHY MORPHO EXISTS Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/. LOCATION   Remote - US (Washington, DC preferred)   ROLE   US regulatory engagement is Morpho's top legal priority. The SEC, CFTC, Treasury and FinCEN are writing the rules that will govern onchain lending, and the volume of rulemakings, requests for comment and staff engagement now exceeds what Legal can cover alongside its other work. Reporting to the General Counsel, this role owns Morpho's US policy pipeline end to end, from tracking rulemakings to drafting submissions and leading meetings with agency staff, Congress and industry coalitions.   RESPONSIBILITIES     - Track SEC, CFTC, Treasury and FinCEN rulemakings, guidance, staff statements and enforcement relevant to onchain lending, and maintain a live calendar of comment deadlines with a recommended posture for each.       - Lead the drafting of comment letters, responses to requests for comment and other written submissions, pulling in input from Protocol, Product, Research and outside counsel, and prepare them for General Counsel sign-off.       - Prepare and lead meetings with agency staff and commissioner offices, including briefing materials, talking points and follow-up submissions.       - Represent Morpho in trade association working groups and industry coalitions, and coordinate Morpho's input into joint filings.       - Engage congressional offices and committee staff on legislation and its implementation where it affects DeFi lending.       - Manage outside policy counsel and consultants day to day: scope, deliverables and spend.       - Brief leadership and product teams on US policy developments in short written updates, and flag implications for the protocol, products and external messaging.     WHAT SUCCESS LOOKS LIKE   FIRST 30 DAYS   You can explain Morpho Markets, Morpho Vaults and the role of curators accurately to a non-technical regulator. You have built a tracker of open SEC, CFTC, Treasury and FinCEN items with a recommended posture for each, joined the relevant working groups, and contributed to at least one live comment letter or coalition submission.   FIRST 3 MONTHS   You own the comment pipeline end to end: first drafts reach the General Counsel on schedule with no missed deadlines. You have prepared and led at least two agency meetings, send a short monthly US policy update to leadership, and have working relationships with staff at the SEC, the CFTC and key congressional offices.   FIRST 6 MONTHS   Agency staff and coalition partners treat Morpho as a credible, technical voice on DeFi lending, and Morpho's positions show up in coalition filings and, where possible, in staff guidance or final rules. Outside counsel runs against clear deliverables and within budget, and you have drafted a 2027 US policy plan for General Counsel approval.   MUST HAVE SKILLS & EXPERIENCE     - 5 to 8 years working on SEC or CFTC matters, at an agency, in a law firm regulatory practice, at a trade association or on an in-house regulatory or policy team. Prior SEC or CFTC staff experience is strongly preferred.       - Strong working knowledge of federal securities and commodities law and of the rulemaking process: notice and comment, staff guidance, no-action and exemptive relief.       - Excellent writing, with comment letters, regulatory submissions or similar work product to show for it.       - Existing relationships with agency staff, congressional staff or industry coalitions.       - Able to learn how onchain lending works and explain it clearly and accurately to a non-technical audience.       - Sound judgment on when to escalate, and comfortable preparing positions for sign-off rather than setting them alone.       - Strong ownership and autonomy: doesn't wait to be told.       - Clear and crisp async communication across a team split between Paris, New York and DC.       - Comfort operating in fast-changing, ambiguous contexts.       - Team-first mindset, low ego. PERKS & BENEFITS We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.   EQUAL OPPORTUNITY We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.

Location: US (EST) Workplace: Remote ABOUT MORPHO Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.   WHY MORPHO EXISTS Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/. LOCATION   Hybrid New York or Remote (EST timezone). ROLE   Morpho's commercial activity is growing fast, and the partnerships, integrations and vendor relationships behind it now outpace what Legal can cover. Reporting to the General Counsel, you will own the contract lifecycle for our partnerships end to end (intake, standard paper, signature, post-signature obligations) and build the tooling behind it, so that standard deals close without waiting on senior lawyers.   RESPONSIBILITIES     - Deal desk: intake and triage of partnership team requests, NDAs on our paper and the counterparty's, and first drafts and negotiation of our standard partnership and incentive agreements, through to signature packs and signing summaries.       - Post-signature tracking: a single contract repository linked to our CRM, and an obligations register (milestones, grant tranches, exclusivity periods, notice windows, renewals) with alerts to deal owners and Finance. Be the go-to person for the conditions of signed deals.       - Legal ops infrastructure: negotiation playbooks, a clause library, a consolidated set of templates, a Legal FAQ for recurring partner questions, AI workflows and agents for intake, drafting and review, outside counsel budget tracking, and a monthly report on legal throughput.       - Vendor and compliance ops: standard vendor and SaaS terms, renewals and insurance calendar, due diligence and security questionnaires, internal policy upkeep and data room hygiene.       - As capacity allows: corporate housekeeping for Morpho's legal entities, and support on employment, IP and privacy matters with outside counsel.       - Work daily with the partnership team, Finance, RevOps, BizOps and outside counsel.     WHAT SUCCESS LOOKS LIKE   FIRST 30 DAYS   You understand Morpho's products and main commercial relationships, own the partnership legal queue and all NDAs, and have read every live partnership agreement and our standard templates.   FIRST 3 MONTHS   Counterparty-paper NDAs are turned around within 2 working days. Every signed agreement sits in one repository linked to its CRM record, and the obligations register is live for all agreements in force, with alerts to deal owners and Finance.   FIRST 6 MONTHS   Standard template deals run without senior lawyer involvement, except for listed deviations. Partner categories are consolidated into an agreed set of templates, each with a playbook. You deliver a monthly throughput report (volume, cycle time, deviations), vendor renewals and insurance sit on a single calendar, and you have proposed the 2027 legal operations roadmap.   MUST HAVE SKILLS & EXPERIENCE     - Legally trained (qualified lawyer or equivalent law degree), with 5 to 8 years in commercial contracting, part of it in-house at a fast-growing technology company.       - Has negotiated partnership, integration or licensing agreements alone, on both own and counterparty paper. US-style commercial drafting is essential.       - Has built legal operations in practice (contract lifecycle tooling, playbooks, intake, reporting), not only used them.       - Builds with AI tools: writes prompts and skills, automates document workflows, and knows where review by a lawyer is still required.       - Comfortable working with Finance on payment mechanics, milestones and budgets, and with a CRM as the source of truth.       - Able to hold a position with a deal team under time pressure.       - Clear, concise communication with non-lawyers.       - Strong ownership and autonomy at startup pace with limited support: doesn't wait to be told.       - Comfort operating in fast-changing, ambiguous contexts.       - Ability to work across US Eastern time zones with shifting priorities.       - Team-first mindset, low ego. PERKS & BENEFITS We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.   EQUAL OPPORTUNITY We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.

Location: European Union; Moldova; Latvia; Albania; North Macedonia; Slovakia; Malta; Croatia; Czech Republic; Slovenia; Romania; Spain; Bulgaria; Kazakhstan; Poland; Hungary; Montenegro; Estonia; Ukraine; Cyprus; Lithuania; Greece; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE Ruby Labs is hiring an experienced Senior Data Analyst to join our fast-paced, high-ownership environment. You will drive analytics across subscription products and web funnels, partnering with Product, Marketing (UAM), and Data teams to improve conversion, retention, and LTV- while ensuring trusted tracking, strong data models, and decision-ready reporting. This role is hands-on and cross-functional: you will own analysis from problem framing to recommendation, and you’ll mentor analysts while collaborating closely with Data Engineering/BI to keep data foundations reliable. RESPONSIBILITIES - Partner with Product, Marketing, and Data Teams to define KPIs, success metrics, and decision criteria. - Create new dashboards, maintain and improve existing reporting (e.g., Product Reports, Marketing Performance Reports), ensuring clarity and trust. - Deliver full-funnel analysis, identify bottlenecks, and propose improvements or A/B test ideas. - Analyze payment and subscription performance across checkout, trial-to-paid conversion, renewals, failed payments, refunds, and chargebacks; identify revenue leakage and recommend improvements. - Partner with Product, Engineering, and Finance to investigate payment issues and ensure payment metrics and revenue reporting are accurate and consistent. - Lead user behavior analysis (journeys, drop-offs, activation/aha moments) using event data. - Monitor key metrics and anomalies; escalate issues and communicate updates to stakeholders with defined SLAs - Own and maintain event taxonomy and tracking structure (events, properties, naming conventions); validate implementation and business logic alignment. - Design and build robust, reusable SQL data models (clean layers, consistent definitions, performance-minded queries). - Mentor Junior/Middle Analysts in SQL, validation, funnel/cohort analysis, and experimentation quality; provide regular feedback and guidance. - Give and receive direct, actionable feedback with peers and the Leadership Team; maintain a high bar for quality in a demanding environment. REQUIREMENTS - Degree in an analytical field (e.g., Mathematics, Data Science, Economics) or equivalent practical experience. - 3+ years of experience as a Data Analyst, with proven ownership of end-to-end analysis and stakeholder delivery. - Strong analytical and problem-solving skills; ability to identify trends, patterns, and root causes in large datasets. - Excellent verbal and written communication; ability to translate analysis into clear business actions. - Ability to think strategically and make data-driven recommendations aligned with company goals. - Strong experience in Product Analytics: funnels, cohorts, retention, LTV, churn, segmentation. - Hands-on experience with event analytics tools: Mixpanel, GA4, Amplitude, or similar - Advanced SQL - Experience with popular BI tools such as Tableau, Looker, or similar - Experience in subscription business - Hands-on experience analyzing payment and subscription data, including checkout conversion, payment approval rates, renewals, failed payments, refunds, and chargebacks. - Ability to adapt quickly, learn new tools and methods efficiently, and work effectively in a high-pressure, fast-changing environment - Strong spoken and written English NICE TO HAVES - Experience in Marketing Analytics - Experience with Python, R - Experience with GCP, BigQuery - Experience with Google Ads, Facebook Ads etc - Experience with orchestration frameworks such as Airflow, dbt - Experience with git and code review process LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (30 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: Lugano, Switzerland Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. 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 We are looking for a Product Manager with a deep understanding of TradingView users, strong commercial judgment, and experience driving product growth. You will grow OKX's business within the TradingView ecosystem by identifying the most promising customer segments, defining why traders should choose OKX, and finding effective ways to acquire, activate, and retain them, with accountability for measurable business outcomes. Your first priority is to establish how the business can grow and which opportunities warrant investment. You will validate growth hypotheses through user research, data analysis, and focused experiments before committing substantial engineering resources. Those insights will shape the product roadmap, investment priorities, and the TradingView integrations and trading experience improvements you deliver with engineering and partners. What You’ll Be Doing Define the Growth Strategy and Business Opportunity — Identify high-potential customer segments, trading use cases, and market opportunities within the TradingView ecosystem. Assess competitive positioning, platform selection drivers, and OKX's differentiated value proposition. Build growth hypotheses and business cases that consider audience size, revenue potential, acquisition cost, and expected return, then set business goals, priorities, and a phased growth plan. Understand Users and the Trading Conversion Journey — Use interviews, behavioral data, and community feedback to understand how traders discover platforms, use charts and indicators, set alerts, connect accounts, place orders, and manage positions. Identify what motivates or prevents users from choosing OKX, making their first trade, and returning. Develop customer segments and conversion funnels, and turn insights into clear product, positioning, and lifecycle opportunities. Validate Growth Hypotheses and Improve Conversion and Retention — Design measurable experiments across acquisition, account connection, first successful trade, repeat trading, and reactivation. Use existing capabilities, onboarding, trader education, value proposition testing, and targeted campaigns to validate opportunities. Define success metrics, experiment costs, and criteria to scale or stop; expand approaches that work and use the evidence to inform subsequent product investment. Drive Go-To-Market and Ecosystem Partnerships — Work with marketing, regional, lifecycle, and TradingView partner teams on acquisition and go-to-market plans. Evaluate ecosystem visibility, communities, creators, educational content, and joint campaigns as potential channels. Define the customer proposition, distribution approach, conversion journey, and partner objectives, and assess channels by the active traders, retention, and business contribution they generate. Translate Growth Evidence into Product Delivery and Integration — Translate validated user needs and growth opportunities into a product roadmap, PRDs, and acceptance criteria. Define the minimum scope and engineering priorities required to achieve the business objective. Work with OKX engineering and TradingView technical teams to assess API integration, account authorization, market data, and order and position synchronization, and drive the necessary adaptation, testing, and launch to address specific conversion, trust, or retention problems. Own Business Outcomes and Continuously Refine Investment — Own metrics for newly acquired trading users, first-trade conversion, active traders, retention, incremental trading volume, and revenue contribution, taking acquisition, incentive, and delivery costs into account. Separate the effects of market conditions, incentives, and product improvements. Review growth initiatives and feature investments, reallocate resources based on results, and track connection success and trading reliability as measures of experience quality. What We Look For In You Relevant product management experience in trading, fintech, or digital assets, with a track record of measurable product growth. You can explain how you identified opportunities, developed a growth strategy, and improved acquisition, trading conversion, retention, or revenue, including your personal contribution and results. A deep understanding of TradingView users and their practical use of charts, indicators, watchlists, alerts, and trading workflows. You can explain why different traders choose a platform, switch terminals, abandon an order, or continue using a service, and validate those insights through research and data. Strong commercial judgment and growth strategy skills. You can segment customers, assess opportunities, define differentiated positioning, select distribution channels, and build business cases. You validate demand and a credible path to growth through research and focused experiments before substantial engineering investment. Strong analytical and experimentation skills. You can analyze funnels, cohorts, and retention, design and evaluate growth experiments, and assess incrementality, acquisition cost, customer value, and incentive cost. You can distinguish short-term trading volume changes from sustainable growth. An understanding of trading products and their commercial drivers. You are familiar with spot and derivatives fundamentals and how instrument coverage, fees, liquidity, execution quality, and account and position workflows influence customer choice, conversion, and retention. You can translate these factors into product decisions. Experience delivering products that involve technical integration. You have worked with engineers on API or third-party platform integrations and can read interface documentation, understand account authorization and market data, order, and position synchronization, define business rules and acceptance criteria, and drive testing and launch. You connect technical constraints and implementation scope to user value and growth objectives. Strong English communication and cross-functional execution skills. You can work with TradingView partners, marketing, regional, product, and engineering teams on business opportunities, product priorities, and technical feasibility, aligning resources around shared outcomes. Nice-To-Haves Experience growing a business within TradingView or a comparable trading-tool ecosystem, with examples spanning opportunity discovery, growth validation, and scaling. Experience with trader communities, creators, educational content, partnerships, or channel growth, with the ability to evaluate initiatives by active traders, retention, and revenue contribution. Experience growing products across regions or trader segments, with an understanding of differences in user behavior, customer propositions, and acquisition approaches. Experience with TradingView Broker Integration, Advanced Charts, Trading Platform, or comparable integrations, with an ability to explain how the work improved the user experience or supported growth objectives. What Success Looks Like An evidence-based growth plan that identifies priority customer segments, OKX's differentiated value, promising distribution channels, and the business opportunity. Validated, repeatable approaches to acquisition, trading conversion, and retention, supported by research and focused experiments that guide engineering investment and resource allocation. Measurable, sustainable growth in active traders, retention, and revenue contribution, with acquisition and incentive costs taken into account. Delivery of the product capabilities and TradingView integrations needed to capture validated opportunities, with improvements to critical user journeys and ongoing measurement of their growth impact. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development 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! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. 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: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. 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 We are looking for a Product Manager with a deep understanding of TradingView users, strong commercial judgment, and experience driving product growth. You will grow OKX's business within the TradingView ecosystem by identifying the most promising customer segments, defining why traders should choose OKX, and finding effective ways to acquire, activate, and retain them, with accountability for measurable business outcomes. Your first priority is to establish how the business can grow and which opportunities warrant investment. You will validate growth hypotheses through user research, data analysis, and focused experiments before committing substantial engineering resources. Those insights will shape the product roadmap, investment priorities, and the TradingView integrations and trading experience improvements you deliver with engineering and partners. What You’ll Be Doing Define the Growth Strategy and Business Opportunity — Identify high-potential customer segments, trading use cases, and market opportunities within the TradingView ecosystem. Assess competitive positioning, platform selection drivers, and OKX's differentiated value proposition. Build growth hypotheses and business cases that consider audience size, revenue potential, acquisition cost, and expected return, then set business goals, priorities, and a phased growth plan. Understand Users and the Trading Conversion Journey — Use interviews, behavioral data, and community feedback to understand how traders discover platforms, use charts and indicators, set alerts, connect accounts, place orders, and manage positions. Identify what motivates or prevents users from choosing OKX, making their first trade, and returning. Develop customer segments and conversion funnels, and turn insights into clear product, positioning, and lifecycle opportunities. Validate Growth Hypotheses and Improve Conversion and Retention — Design measurable experiments across acquisition, account connection, first successful trade, repeat trading, and reactivation. Use existing capabilities, onboarding, trader education, value proposition testing, and targeted campaigns to validate opportunities. Define success metrics, experiment costs, and criteria to scale or stop; expand approaches that work and use the evidence to inform subsequent product investment. Drive Go-To-Market and Ecosystem Partnerships — Work with marketing, regional, lifecycle, and TradingView partner teams on acquisition and go-to-market plans. Evaluate ecosystem visibility, communities, creators, educational content, and joint campaigns as potential channels. Define the customer proposition, distribution approach, conversion journey, and partner objectives, and assess channels by the active traders, retention, and business contribution they generate. Translate Growth Evidence into Product Delivery and Integration — Translate validated user needs and growth opportunities into a product roadmap, PRDs, and acceptance criteria. Define the minimum scope and engineering priorities required to achieve the business objective. Work with OKX engineering and TradingView technical teams to assess API integration, account authorization, market data, and order and position synchronization, and drive the necessary adaptation, testing, and launch to address specific conversion, trust, or retention problems. Own Business Outcomes and Continuously Refine Investment — Own metrics for newly acquired trading users, first-trade conversion, active traders, retention, incremental trading volume, and revenue contribution, taking acquisition, incentive, and delivery costs into account. Separate the effects of market conditions, incentives, and product improvements. Review growth initiatives and feature investments, reallocate resources based on results, and track connection success and trading reliability as measures of experience quality. What We Look For In You Relevant product management experience in trading, fintech, or digital assets, with a track record of measurable product growth. You can explain how you identified opportunities, developed a growth strategy, and improved acquisition, trading conversion, retention, or revenue, including your personal contribution and results. A deep understanding of TradingView users and their practical use of charts, indicators, watchlists, alerts, and trading workflows. You can explain why different traders choose a platform, switch terminals, abandon an order, or continue using a service, and validate those insights through research and data. Strong commercial judgment and growth strategy skills. You can segment customers, assess opportunities, define differentiated positioning, select distribution channels, and build business cases. You validate demand and a credible path to growth through research and focused experiments before substantial engineering investment. Strong analytical and experimentation skills. You can analyze funnels, cohorts, and retention, design and evaluate growth experiments, and assess incrementality, acquisition cost, customer value, and incentive cost. You can distinguish short-term trading volume changes from sustainable growth. An understanding of trading products and their commercial drivers. You are familiar with spot and derivatives fundamentals and how instrument coverage, fees, liquidity, execution quality, and account and position workflows influence customer choice, conversion, and retention. You can translate these factors into product decisions. Experience delivering products that involve technical integration. You have worked with engineers on API or third-party platform integrations and can read interface documentation, understand account authorization and market data, order, and position synchronization, define business rules and acceptance criteria, and drive testing and launch. You connect technical constraints and implementation scope to user value and growth objectives. Strong English communication and cross-functional execution skills. You can work with TradingView partners, marketing, regional, product, and engineering teams on business opportunities, product priorities, and technical feasibility, aligning resources around shared outcomes. Nice-To-Haves Experience growing a business within TradingView or a comparable trading-tool ecosystem, with examples spanning opportunity discovery, growth validation, and scaling. Experience with trader communities, creators, educational content, partnerships, or channel growth, with the ability to evaluate initiatives by active traders, retention, and revenue contribution. Experience growing products across regions or trader segments, with an understanding of differences in user behavior, customer propositions, and acquisition approaches. Experience with TradingView Broker Integration, Advanced Charts, Trading Platform, or comparable integrations, with an ability to explain how the work improved the user experience or supported growth objectives. What Success Looks Like An evidence-based growth plan that identifies priority customer segments, OKX's differentiated value, promising distribution channels, and the business opportunity. Validated, repeatable approaches to acquisition, trading conversion, and retention, supported by research and focused experiments that guide engineering investment and resource allocation. Measurable, sustainable growth in active traders, retention, and revenue contribution, with acquisition and incentive costs taken into account. Delivery of the product capabilities and TradingView integrations needed to capture validated opportunities, with improvements to critical user journeys and ongoing measurement of their growth impact. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development 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! 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: Bangalore, India From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is seeking an exceptional Senior international accountant, to join its fast growing Accounting team. This role will be a significant contributor to the success of the accounting department. The ideal candidate has in-depth knowledge of generally accepted accounting principles, proficiency in accounting systems, and strong motivation to contribute to the achievement of efficient financial close and reporting processes. You pay great attention to detail, deliver results under deadlines and work effectively cross-functionally in a rapidly changing environment. The ideal candidate is someone who strives for operational excellence. You invest time in defining and documenting processes to not only proactively address current process gaps but to also to get ahead of new processes required to support Fivetran’s continued growth. What You’ll Do As Senior international accountant you will: Be responsible for our Indian entity and support multiple other entities across EMEA & APAC from a US GAAP and statutory reporting perspective Prepare and post journal entries in Netsuite for these entities as well as monitor postings done by other accounting functions Hands-on performance of month-end close activities. Make sure that all deadlines are met and proactively review balances before closing Oversee the preparation of financial statements in accordance with IFRS or applicable local GAAP Support the Statutory Audit process and ensure timely and accurate preparation of audit deliverables Review the work of our outsourced partners and closely manage service levels Identify and drive process improvements and automation initiatives to reduce manual effort and drive toward Global standardization Manage processes related to invoicing, tax payments, statistical filings and other obligatory filings Demonstrate strong technical accounting acumen to be able to conclude on accounting treatment of complex transactions; Partner with key stakeholders including Tax, FP&A, Legal and Sales & Marketing teams Support ad-hoc projects as required Skills We’re Looking For Recognised accounting qualification (ACA, CIMA, ACCA) Minimum 4 years of PQE, preferably gained within a Big Four firm and / or a multinational organization Solid knowledge of US GAAP, IFRS and local GAAPs Strong computer and analytical skills Excellent planning, analytical, interpersonal and communication skills Demonstrable experience as a team player, who is comfortable working as part of a larger team located across multiple geographic locations Ability to work independently, to work under pressure and to handle several projects at once A desire to work in a hyper-growth, quick paced, exciting business environment # LI-Hybrid #LI-DB1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role:  Reporting to the Senior Vice President, Global Controller, the Vice President, Global Accounting will lead an organization of approximately 16 professionals spanning accounting operations, consolidated financial reporting, and treasury. This is a highly visible leadership role, and as Lyra continues to grow and evolve, this leader will be responsible for scaling the accounting function and building the processes, controls, systems, talent, and operating discipline necessary to support increasing business complexity and prepare the company to operate at public-company standards. The ideal candidate is a modern accounting executive who combines deep accounting expertise with exceptional operational leadership, strategic thinking, and a transformation mindset. They have successfully led and scaled accounting organizations in complex, high-growth environments and understand what it takes to build a world-class, public-company-ready accounting function. This leader will be equally comfortable setting strategy, developing talent, challenging existing processes, leveraging technology and AI, and engaging directly in complex accounting matters when needed. They will serve as a trusted advisor to senior leadership and a key architect of Lyra’s next-generation accounting organization. Responsibilities Corporate Accounting & Financial Reporting Provide leadership and oversight across corporate accounting, general ledger, accounts payable, accounts receivable, payroll, lease accounting, consolidations, and related accounting operations. Lead consolidated financial reporting ensuring timely and accurate financial results in accordance with U.S. GAAP . Establish and maintain accounting policies, governance, and processes and lead the evaluation and implementation of new accounting standards. Deliver meaningful financial information and insights to support executive decision-making. Public Company & SOX Readiness Support the design and implementation of a scalable SOX compliance framework, including strong business-process controls, governance, documentation, and accountability. Strengthen the accounting organization’s infrastructure across close and consolidation, SEC-quality financial reporting, accounting policies, technical accounting, internal controls, systems, documentation, and audit readiness. Accounting Operations & Transformation Lead the standardization and optimization of accounting processes globally, establishing clear ownership, performance expectations, service levels, and measurable outcomes. Champion continuous improvement and identify opportunities to reduce manual effort, simplify processes, accelerate cycle times, and improve the quality and accessibility of financial information. Bring a technology-forward mindset to Accounting, identifying opportunities to leverage automation, AI, standardized workflows, and modern financial systems to improve speed, accuracy, scalability, controls, and insight. Treasury & Cash Management Strengthen processes supporting cash visibility, liquidity management, cash positioning, and working capital optimization. Develop recommendations that support effective capital deployment, liquidity management, and financial risk management. Leadership & Business Partnership Lead, develop, and scale a high-performing accounting organization building organizational depth, leadership capability, accountability, and opportunities for professional growth. Create an environment that attracts, develops, engages, and retains exceptional accounting talent. Build strong partnerships to drive alignment and successfully execute cross-functional initiatives. What Success Looks Like Success in this role will mean building upon Lyra’s accounting foundation and transforming the organization for its next stage of growth. This leader will help create: A scalable, high-performing global accounting organization with strong leadership depth and clear accountability. A faster, more predictable, and increasingly automated financial close. Standardized global accounting processes supported by strong systems, data, and controls. Financial reporting and accounting infrastructure capable of operating at public-company standards. A robust and sustainable SOX and internal-control environment. Greater use of technology, automation, and AI across accounting workflows. An accounting organization recognized as a trusted, strategic partner to the business. Qualifications Strong executive presence and communication skills, with demonstrated ability to influence senior stakeholders, navigate complex issues, resolve escalations, and drive alignment across functions. 15+ years of progressive accounting experience with demonstrated success leading and developing complex accounting organizations in a global environment. Public-company accounting experience; a deep understanding of U.S. GAAP and SEC reporting requirements, SOX and audit requirements. Demonstrated success leading accounting transformation, process standardization, automation, and continuous-improvement initiatives. Bachelor’s degree in Accounting, Finance, or a related field; CPA required. A collaborative, pragmatic leadership style and the ability to thrive in a dynamic, high-growth environment. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Vice President, Global Accounting, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $213,030 to $286,670. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.   Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:  Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave  401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!   We can’t wait to meet you.

Location: Sydney 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 The Enterprise Account Executive joins Harvey's Sales team to drive commercial growth across Australia and New Zealand, with a primary focus on owning and expanding a portfolio of Enterprise law firm accounts. This role sits within a high-performing regional sales organisation whose mission is to establish Harvey as the essential AI platform for legal professionals across ANZ. The person in this seat will own the full sales cycle; from prospecting through commercial negotiation, onboarding, and expansion, shaping how leading law firms adopt and scale AI-powered solutions. They will partner closely with cross-functional teams including product, legal engineering, solutions architecture, and customer success to deliver tailored outcomes for sophisticated legal buyers. It is a compelling opportunity to define how a category-creating AI product reaches the law firm market in one of its fastest-growing regions. What You'll Do - Own and grow a portfolio of named law firm accounts across ANZ, driving full-funnel sales activity from prospecting through to commercial negotiation, onboarding, and expansion. - Develop deep, long-term relationships with managing partners, innovation leaders, general counsel, and other key stakeholders across target firms. - Lead high-impact product demonstrations and client meetings that clearly articulate Harvey's business value and technical capabilities to legal audiences. - Collaborate cross-functionally with product, legal engineering, solutions architecture, and customer success to inform roadmap priorities and surface client needs. - Deliver against sales targets with a focus on sustainable growth and performance excellence across the ANZ law firm market. - Document learnings, iterate on messaging, and help build scalable processes that accelerate regional growth and strengthen Harvey's position with law firms. What You Have - Experience in enterprise B2B SaaS sales, preferably (but not essential) with exposure to AI, legaltech, or vertical software. - Track record of success managing complex sales cycles with multiple stakeholders, ideally within law firms or the broader legal industry. - Strong communication skills, with the ability to explain technical products to non-technical audiences, including senior legal professionals. - Interest in the legal industry and a commitment to enhancing knowledge work through technology. - Familiarity with enterprise sales practices in the ANZ region; self-motivated and results-oriented, with a collaborative approach to working cross-functionally. What We Offer - Be part of building something special as a member of our Sydney team. - Structured hybrid working arrangement: 3 days in our Sydney office, 2 days working from home. - Opportunities to work on cross-functional go-to-market initiatives, with a focus on scaling sales strategy and driving revenue growth. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-CL1 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