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Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing is seeking exceptional Research Scientists to join our research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier evaluation, synthetic data, hallucination and reliability, and agentic science . We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them. What You'll Do Frontier benchmarks and evaluation Identify high-impact gaps in existing benchmark and evaluation literature. Design novel benchmarks in and across STEM fields and on general model functionality. Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks. Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies. Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models. Synthetic data and post-training Develop methods for generating high-quality synthetic STEM training data. Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance. Explore methods for generating useful training signal in domains where expert human data is scarce or expensive. Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume. Hallucination, reliability, and verification Study hallucination, uncertainty, calibration, and epistemic failure in technical domains. Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention. Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know. Agentic science Research AI systems capable of performing extended scientific and technical work. Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning. Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research. Explore new approaches to human-AI and multi-agent scientific collaboration. New research directions The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities. What We’re Looking For PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field . Demonstrated ability to formulate and execute original research. Strong understanding of modern LLMs and the frontier AI research landscape. Excellent experimental design, quantitative reasoning, and scientific judgment. Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas. Strong Python skills and the ability to independently build research prototypes and evaluation pipelines. Excellent technical writing and communication. Comfort working in a fast-moving environment where the research agenda evolves with the frontier. A strong publication record is valuable, but we care most about whether you can identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter . A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing is seeking exceptional Research Scientists to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science . We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them. What You'll Do Frontier benchmarks and evaluation Identify high-impact gaps in existing benchmark and evaluation literature. Design novel benchmarks in and across STEM fields and on general model functionality. Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks. Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies. Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models. Synthetic data and post-training Develop methods for generating high-quality synthetic STEM training data. Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance. Explore methods for generating useful training signal in domains where expert human data is scarce or expensive. Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume. Hallucination, reliability, and verification Study hallucination, uncertainty, calibration, and epistemic failure in technical domains. Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention. Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know. Agentic science Research AI systems capable of performing extended scientific and technical work. Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning. Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research. Explore new approaches to human-AI and multi-agent scientific collaboration. New research directions The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities. What We’re Looking For PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field . Demonstrated ability to formulate and execute original research. Strong understanding of modern LLMs and the frontier AI research landscape. Excellent experimental design, quantitative reasoning, and scientific judgment. Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas. Strong Python skills and the ability to independently build research prototypes and evaluation pipelines. Excellent technical writing and communication. Comfort working in a fast-moving environment where the research agenda evolves with the frontier. A strong publication record is valuable, but we care most about whether you can identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter . A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing is seeking exceptional AI Research Scientists to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science . We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them. What You'll Do Frontier benchmarks and evaluation Identify high-impact gaps in existing benchmark and evaluation literature. Design novel benchmarks in and across STEM fields and on general model functionality. Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks. Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies. Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models. Synthetic data and post-training Develop methods for generating high-quality synthetic STEM training data. Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance. Explore methods for generating useful training signal in domains where expert human data is scarce or expensive. Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume. Hallucination, reliability, and verification Study hallucination, uncertainty, calibration, and epistemic failure in technical domains. Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention. Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know. Agentic science Research AI systems capable of performing extended scientific and technical work. Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning. Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research. Explore new approaches to human-AI and multi-agent scientific collaboration. New research directions The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities. What We’re Looking For PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field . Demonstrated ability to formulate and execute original research. Strong understanding of modern LLMs and the frontier AI research landscape. Excellent experimental design, quantitative reasoning, and scientific judgment. Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas. Strong Python skills and the ability to independently build research prototypes and evaluation pipelines. Excellent technical writing and communication. Comfort working in a fast-moving environment where the research agenda evolves with the frontier. A strong publication record is valuable, but we care most about whether you can identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter . A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $150,000 to $300,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Kuala Lumpur, Malaysia 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. What You’ll Be Doing Lead a team of Legal Response agents day-to-day: assign and triage incoming law enforcement requests, monitor SLA and quality performance, and step in on complex or time-sensitive cases. Coach and develop team members, conduct regular 1:1s, and flag performance or capacity issues to your Manager. Act as first-line escalation point for law enforcement requests and internal stakeholder queries (Legal, Compliance, Risk, Customer Service ), resolving what you can and escalating what you can't with clear context. Maintain and enforce SOPs for handling law enforcement and regulatory requests; surface process gaps or inefficiencies to your Manager with a recommended fix. Own team-level metrics and reporting: SLA adherence, backlog aging, error rate, and volume trends — using the team's data and reporting tools directly. Serve as subject matter expert on law enforcement request handling for your team and adjacent functions. Maintain working knowledge of company products sufficient to communicate credibly with external stakeholders (law enforcement, legal representatives). Support your Manager on process improvements, projects, and cross-team initiatives as needed. Day-to-Day Responsibilities Ensuring daily operations run smoothly; escalate incidents to your Manager and relevant stakeholders in a timely manner. Monitor SLA, backlog, and error-rate KPIs; identify trends and quality issues before they become escalations. Conduct weekly/monthly performance reviews with team members, distinct from informal 1:1s. Coordinate with L&D on training and re-training needs identified through performance monitoring. Lead or contribute to process improvement projects and workshops. Plan team shift schedules to maintain 24x7 coverage, and manage shrinkage against plan. Participate in recruitment activities ( screening , interviewing) for the team. What We Look For In You A degree in law, compliance, or a related field, or equivalent experience demonstrating critical thinking. Prior experience leading or supervising a team, comfortable holding others accountable. Comfortable working with data: reading SLA/volume/error dashboards and using them to make day-to-day team decisions, not just reporting numbers upward. Strong written and verbal communication; detail-oriented, especially under time pressure. Able to work independently and as part of a team. Comfortable working in a fast-paced, dynamic environment with changing priorities. Strong people skills: Ability to navigate difficult situations and stay calm under pressure. Solutions mindset: passionate to find the right solution and resolve the issue. Excellent time management: ability to multi-task to solve issues while managing time. Quick learner: ability to ramp up quickly and act on feedback constructively. Willing to work on a rotational shift to support 24x7 operations. Willing to work in Tun Razak Exchange (walking distance from MRT TRX). 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: United Kingdom; Spain; Netherlands; Poland Workplace: remote Head of Editorial   About the Role Finom is looking for a Head of Editorial to own the words across the Finom experience. We'll be direct with you, because we'd rather you hear it from us than discover it in the first week: our copy isn't good enough yet. It’s inconsistent, it's longer than it needs to be, it doesn't sound enough like us (which we’re still working out), it doesn't convert as well as we’d like, and errors make it through to publication. That's the job. You'll own the voice, the style guide and the editorial review layer that makes top notch words systematic rather than accidental. You'll lead our copywriting team, develop them, and help them realise their potential. You'll do this by showing as well as telling: you'll show us what amazing looks like. And you'll set Finom's editorial AI strategy, deciding where generation, drafting and checking genuinely help, and where they don't belong at all. You will own the English (not localisation, but you'll work closely with the people who do, because English is the source language), which means your standard becomes the ceiling for every market we operate in. Tighten the English and every language gets better. This is a role for an exceptional editor. Not only a writer, though you'll need to be a strong one. The core of this job is taking someone else's draft and making it materially better, quickly, because you've established a strong standard that brings results. If you find that more satisfying than seeing your own byline, you'll enjoy this job a lot. What You'll Be Doing •  Owning the words across the Finom experience: the standard, the voice and the final read •  Building and owning the style guide, and driving its adoption well beyond the Editorial team •  Establishing the editorial review layer: who reads what before it ships, against what criteria, and how nothing goes out with errors in it •  Leading and developing the copywriting team, giving direct and useful feedback, and hiring as the function grows •  Owning Finom's editorial AI strategy: where generation, drafting and checking are used, where they aren't, and what quality gates they have to pass •  Writing personally on key projects, campaigns and launches •  Coordinating across lifecycle, web, paid and social so that Finom's language is consistent everywhere a customer meets us •  Partnering with Product to make sure brand voice holds inside the product, not just in marketing •  Working closely with localisation partners so English source quality lifts every market •  Making copy work commercially: tightening, sharpening and testing so that writing converts rather than merely describes •  Building the intake and prioritisation model that lets a small team serve rising demand without the standard slipping What Success Looks Like In your first 30 days: you've read everything, you know where the worst copy is and why, you've properly assessed the team you've inherited, and you understand where demand actually comes from. You have a diagnosis, not yet a plan. By 45 days: a first version of the style guide is in use, an editorial review layer is running, and errors have stopped reaching publication. By 60 days: intake and prioritisation are agreed with the teams generating demand, the voice is documented and being adopted outside Editorial, and your first AI-assisted workflows are live with quality gates that hold. By 6 months: Finom sounds like one company everywhere. Copy is tighter and converting better, with evidence. The writers on your team are visibly better than when you arrived. Editorial runs as a function rather than a queue. Who You Are •  An outstanding and fast editor. You improve other people's writing without taking it over. You do it under deadline, without agonising •  A precise writer. Your English is exceptional. You cut rather than decorate •  Direct about quality. You can tell someone their draft isn't working, explain exactly why, and leave them wanting to fix it •  A brilliant documentor. You've created style guides, review processes or editorial standards where none existed •  Commercially literate. You treat copy as a lever, not only as craft, and you can point to writing that moved a number •  Genuinely cross-functional. You get good work shipped through other teams' processes, not just your own •  Comfortable with ambiguity. There's no style guide, no review process and no documented voice yet. You find that energising Must-Haves •  Evidence that you can lead the editorial standard, whether through direct people management, mentoring other writers, or operating as a senior individual contributor with strong stakeholder influence. Experience managing and developing writers is highly valued. •  Experience producing high-volume marketing and conversion copy in a fast-moving tech or digital environment. In-house experience is preferred, but strong agency backgrounds are equally relevant where you’ve worked at pace across multiple channels. •  English at native level. Exceptional command of written English, since your work sets the quality ceiling for every localised market •  Demonstrable AI fluency in an editorial context. Not tool familiarity: evidence that you've set policy in practice, defined where AI isn't used, built the checking layer, and held quality as volume rose •  A track record of building editorial standards, style guides or review processes from scratch •  Experience developing writers who measurably improved •  Ability to work across marketing and product surfaces •  Based in an eligible EU location, the UK or Ireland We're deliberately open on background. Editorial and journalism, brand and advertising copywriting, and B2B content marketing are all valid routes into this role. We care about the work and the judgement, not the job titles. Nice-to-Haves •  Fintech, financial services or another regulated industry where precision genuinely matters •  Experience owning voice across both marketing and in-product copy •  Experience running a source-language function feeding multi-market localisation •  Experience building or managing a freelance writer network Why Finom Finom is building the financial platform European entrepreneurs actually want to use, in a category where almost every brand looks and sounds the same. Our customers rate us 4.8 on Trustpilot, higher than any other B2B banking player in Europe, so the product is genuinely good; the job in Brand is to make sure the way Finom reads and sounds matches it. That means an editorial function you get to build rather than inherit, an editorial AI strategy designed from a clean sheet at a moment when very few companies have worked this out properly, and real appetite at senior level for quality as a way to win rather than a cost line. If you've spent time somewhere the writing was tolerated rather than cared about, this will feel different. Compensation & Benefits This role sits at Job Level 6, which includes equity options under Finom's Incentive Plan, eligibility for the High Performance Bonus Plan, and a salary positioned within Finom's range for your location, level and job family, benchmarked to the 50th–75th market percentile. Our Process A 30-minute screen, a conversation with the VP of Brand, a three-hour editorial task with a follow-up discussion, a short cross-functional panel, a conversation with the writers you'd be leading, and a final interview with our CMO. We aim to move quickly and we'll tell you where you stand at every stage. 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: Remote (Ukraine) [https://app.ashbyhq.com/api/images/user-content/d5fc9a0c-9608-448b-b96f-2a4966f020bf/4f9f4f54-aa58-4dad-a9a3-ef00b1355969/G_LINK_OWN_COVER_1.png] ABOUT US: Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team comprises over 400 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team. OUR MISSION: Become a stepping stone on our customers’ journeys of self-improvement. OUR VALUES: - Deliver what matters - Respect and support others - Initiate and own - Voiceopenly - Execute with quality If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com http://gismart.com. RESPONSIBILITIES: Daily operations - Monitor and assign incoming tickets, ensuring proper prioritization - Promptly detect and report incidents; take ownership of raised issues - Lead weekly team syncs and product training sessions - Manage schedules, capacity, extra shifts, and substitutes - Handle escalations and complex customer issues - Optimize queue management using Zendesk triggers and automations People management - Lead and mentor a team of 5–10 support agents by providing clear direction and continuous feedback - Conduct regular 1:1s and performance reviews - Initiate and oversee performance improvement plans Reporting - Track weekly performance and ensure KPI compliance - Collect and share product feedback with product teams - Collaborate with the Support Team Lead to analyze results and propose improvements REQUIREMENTS: - Advanced English proficiency (C1—C2) in both writing and speaking - Strong expertise in Zendesk, including triggers, tags, macros, and SLA settings - Experience with payment platforms (e.g., PayPal, Stripe) - Proven track record of managing teams of 5+ support agents, including mentoring, shift and capacity planning, and feedback delivery - Experience with Google Sheets: building formulas, graphs, and structured data sets - Strong analytical skills using Zendesk Explore, with occasional use of Amplitude and Tableau WOULD BE A PLUS: - Experience with Jira, Confluence, or Asana - Understanding of mobile app functionality, including versions, updates, and device compatibility - Knowledge of subscription models, including renewals, refunds, and invoicing EMPLOYEE BENEFITS: - Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs. - Сoworking Compensation: We provide 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace. - Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year - 100% Sick Leave Compensation - Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, therapy costs. - Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools. - Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses. - Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart. - Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP is hiring a Senior Manager, Commercial Analytics to support our commercial business across sales channels. In this role, you will oversee reporting to understand commercial performance, evaluate growth opportunities, and make informed investment decisions. You will lead a team of analysts supporting Digital Commerce, Apparel & Accessories, and Wholesale while remaining hands-on with the highest-impact analytical work. You will partner closely within the broader analytics team and across the organization to translate complex data into clear business decisions and establish consistent measurement across the commercial organization. RESPONSIBILITIES: - Lead and develop a team of analysts supporting Digital Commerce, Apparel & Accessories, and Wholesale, setting clear priorities and ensuring analytical work translates into meaningful commercial impact. - Own the commercial bookings model and short-term, bottoms-up forecasting, explaining performance across channels, geographies, products, and partners and partnering with Finance to reconcile channel-level forecasts with company planning. - Establish consistent frameworks for evaluating channel and customer economics to enable informed comparisons and investment decisions across the commercial organization. - Build scenario-planning and measurement frameworks that quantify tradeoffs across volume, cost, retention, pricing, mix and margin. - Run point on critical commercial decisions and operating rhythms, diagnose the drivers of bookings and member economics, and translate findings into clear recommendations for senior stakeholders. - Partner cross-functionally to improve the data, measurement, and analytical capabilities that support commercial decision-making. QUALIFICATIONS: - Bachelor's or advanced degree in Business, Economics, Math, Statistics, Data Science, or a related field. - 7+ years of experience in analytics, data science, strategic finance, commercial strategy, or a related discipline, with demonstrated experience using customer and unit economics to inform business decisions. - Experience building or owning commercial measurement frameworks such as LTV, CAC, payback, contribution margin, forecasting, scenario planning, or incrementality, ideally within a subscription, recurring-revenue, or multi-channel business. - Demonstrated people leadership experience, with a track record of developing talent, setting priorities, and maintaining high standards for analytical quality and business impact. - Strong SQL skills and experience working with modern data infrastructure, paired with proficiency in Python, R, or comparable analytical tools for modeling and advanced analysis. - Experience partnering with senior commercial, sales, marketing, or finance stakeholders to frame ambiguous business questions, evaluate tradeoffs, and translate analysis into clear recommendations and actions. - Strong business acumen and understanding of analytical measurement, including the ability to evaluate modeling approaches and their limitations and effectively partner with Data Science and other technical teams. - Experience working in omni-channel businesses and establishing shared metrics or analytical standards across teams is a plus. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $170,000 - $200,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: United Kingdom; Spain; Netherlands; Poland Workplace: remote Art Director, Brand & Marketing Design About the Role Finom is building a brand that European entrepreneurs recognise and trust, and right now the visual side of that brand needs an owner. We are looking for an Art Director to lead our Marketing Design team and take ownership of Finom's visual identity end to end. Not marketing design in isolation: the brand system itself, the guidelines behind it, and how consistently it shows up everywhere Finom appears. You are joining at a genuine inflection point. Finom is growing fast, helping entrepreneurs around Europe take their businesses to the next level. We have over 200k users with ambition for millions more. Meanwhile, our customers rate us 4.8 on Trustpilot, the only business banking app above 4.7. Our ambition brings with it a unique set of challenges. Your job will be twofold: raise the creative bar, and build the system that lets a team deliver at volume without the quality dropping. Your first months will be as much about diagnosis as creation: auditing the existing identity, understanding where the current team and workflows are working or falling short, and putting the foundations in place for what comes next. From there, you'll help determine and lead the next evolution of Finom's visual identity. This is a hands-on leadership role. You will direct and mentor, and you will also design, setting the visual benchmark yourself, not just reviewing other people's work against it. You will work in close partnership with our VP of Product Design, so that the brand reads as one across marketing, product, and the entire brand experience. Finom is building an AI-native production pipeline, and we want a creative leader who is already fluent in it. Not someone curious about AI, someone who has shipped with it and can design the workflows, quality gates and brand guardrails that make AI output genuinely good rather than merely fast. What You Will Be Doing •  Own Finom's visual identity (the brand system, guidelines, design systems and documentation) and drive consistent adoption across every team and touchpoint, including teams that produce assets outside your own •  Set and hold the creative bar. Shape visual direction across channels and make consistency and quality non-negotiable •  Lead and develop the existing Marketing Design team, assess its capabilities and future shape, and determine where additional permanent, freelance or AI-enabled capacity is needed •  Define the design requirements for intake, briefing, prioritisation, SLAs and review, working with Brand Operations and Marketing Operations to turn them into scalable processes •  Design and direct high-quality visual and motion assets that bring the brand to life, personally setting the benchmark for the wider team •  Build the AI-native production pipeline: define where AI accelerates the work, where it doesn't, and what quality and brand-integrity gates it has to pass. Create the templates, systems and tools that let both designers and AI workflows execute independently •  Provide creative direction at the front of significant projects (the creative kickoff, the concept, the narrative) rather than reviewing work once it's already been produced •  Direct the creation of mood boards, design references, scamps, storyboards and animatics to communicate creative intent •  Partner with Marketing, Product, copywriters and strategists to develop campaigns across digital-first channels (social, web, video), with the ability to stretch into ATL where the moment calls for it •  Own projects from concept through delivery, and run multiple parallel workstreams without letting standards slip •  Build and present creative work to senior stakeholders, articulating rationale clearly enough to guide decisions •  Manage a flexible pool of freelance and external creative partners to absorb peaks in demand •  Act as guardian of the visual identity while continuously pushing where the brand can be braver Who You Are •  A genuinely strong designer. Other designers respect your work and want to learn from you; that's the bar, and it isn't optional for this role •  Strong design taste, and able to articulate how it impacts the business. You can tell excellent from generic and explain precisely why, in terms a non-designer can act on •  A builder of process as much as a maker of work. You believe high volume and high quality are compatible, and you have the systems thinking to prove it •  Customer-obsessed in how you approach brand: your creative decisions trace back to what the audience actually responds to, not to internal taste •  Comfortable with ambiguity. Finom is moving fast, the setup is being built as you go, and you find that energising rather than exhausting •  A generous leader who elevates people, gives direct feedback, and turns good work into exceptional work •  Confident with senior stakeholders without becoming a bottleneck for them Must-Haves •  8+ years as a graphic or brand designer, ideally in fast-moving, brand-led environments •  4+ years as a design leader with direct responsibility for a team of three or more •  Experience building customer-facing technology brands or consumer digital products at scale. Your portfolio should show how strong visual craft works alongside usability, clarity and commercial objectives •  A track record of building and evolving brand systems across campaigns, products or businesses, including ownership of key visual directions •  A standout portfolio showing strategic thinking, creativity and polished execution across visual design, motion, editorial, digital and social formats •  Clear examples of work where you led or directed other creatives •  Demonstrated AI design fluency, with evidence of AI-native production rather than occasional AI assistance: workflows you built, quality standards you set, output you shipped •  Experience creating scalable brand systems, templates, tools and guidelines that let other teams execute independently •  Expertise across Adobe Creative Cloud and Figma, with the ability to define efficient workflows and standards for a team •  A portfolio of shipped brand assets: campaign visuals, social graphics, presentation decks, event materials, marketing collateral •  Excellent communication skills and the judgement to influence at a senior level •  Fluent English Nice-to-Haves •  Experience in fintech or financial services •  Experience with sponsorship, partnership or event-led brand work at scale •  Motion design depth, or experience directing motion specialists •  Experience partnering closely with a product design function on a shared brand system •  Experience building and managing a freelance or external creative network 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.

Облако Selectel - это набор микросервисов и подсистем для управления виртуальными машинами, кластерами Kubernetes, базами данных и сетями. Ядро облака включает виртуальные машины, диски и сети, которые используются клиентами напрямую и служат основой для PaaS-сервисов. Команда сетевых функций облака занимается развитием и поддержкой сервисов управления сетями, виртуальными роутерами и балансировщиками нагрузки, включая виртуализацию сетевых функций от Open vSwitch до панели управления. Задачи: — Разрабатывать сетевые сервисы на Python и Golang, такие как DNS-as-a-service, высокопроизводительные балансировщики и другие. — Обновлять сетевые компоненты OpenStack (octavia, neutron), писать патчи и исправлять баги в upstream. — Ревьювить код, писать unit и функциональные тесты. — Проводить исследования и проектировать архитектуру новых компонентов. Требования: — Хорошее знание Python (Flask, SqlAlchemy, Celery, Oslo, Taskflow) и других специфичных для OpenStack технологий. — Опыт работы с микросервисами и масштабными монолитными проектами. — Знание сетевых технологий: VLAN, VXLAN, маршрутизация, BGP, умение снимать и анализировать tcpdump. — Опыт работы с MySQL, PostgreSQL, ClickHouse, RabbitMQ, Redis. — Опыт проектирования API и архитектуры приложений, включая микросервисную архитектуру. — Опыт работы с Linux: написание bash-скриптов, работа с логами, настройка IP и сетевых интерфейсов. — Опыт и понимание принципов CI/CD и IaC (GitlabCI, Puppet, Jenkins). — Опыт работы с Docker и Kubernetes. Будет плюсом: — Опыт разработки на Golang. — Опыт работы с OpenStack на уровне пользователя или разработчика/администратора. — Знания сетевых технологий облаков: оверлейные сети, плавающие адреса, security groups, NAT, OpenFlow, Open vSwitch, OVSDB, балансировка трафика. — Практический опыт работы с сетевым оборудованием. — Навыки автоматизации управления сетевым оборудованием (Netconf, SSH, OVSDB). Условия: — Ежемесячная надбавка за некурение. — ДМС, стоматология, офисный врач с первого дня работы. — Компенсация психологических консультаций онлайн или в кабинете. — 50% оплата абонемента в фитнес-клуб и спортивный зал в офисе. — Внутренние спортивные турниры, корпоративные тренировки и участие в спортивных мероприятиях. — Офисный душ. — Образовательные мероприятия: мастер-классы, лекции, квизы, экскурсии. — Тематические киновечера и вечера настолок. — PlayStation zone, кикер и настольный теннис. — Несколько крупных тусовок в году, зимние поездки на сноубордах и лыжах, осенние пейнтболы. — От 50% до 100% оплаты обучения английскому, еженедельные разговорные клубы с носителями. — Внутренние обмены знаниями: lightning & thunder talks, Selectel MasterClass. — Внутренняя база знаний и курсы. — Рекомендации по обучению и развитию. — Персонализированный подход к обучению, возможность участия в международных конференциях. — Онлайн-библиотека Alpina Digital.

Location: Chicago, Illinois Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Implementation is an activity every Fin customer experiences, whether purchasing Fin for the first time, expanding Fin use to a new team, or adopting new features! As a Partner Services Manager at Fin, you’ll share ownership of this crucial process alongside our Service Delivery Partners. Your primary responsibility is ensuring customers implement Fin’s suite of AI tools to solve their most complex problems and ultimately drive incredible value for their business. Partner Services Managers have an outsized impact on the company. If you want to help make business personal for our customers and you want to work with an ever growing and changing team, you’re in the right place! What will I be doing? You will act as the Fin owner of partner-delivered services projects and the liaison who ensures that Services Delivery Partners have a good experience working with Fin You will onboard and certify new Service Delivery Partners on Fin's product, methodology, and delivery standards, and continually uplevel existing partners as our product and best practices evolve You will enable partners to facilitate discovery of complex customer objectives and requirements and help translate them to items included in our deployment plans You will enable partners to execute tailored AI-first customer service strategies based on customer goals and drive product adoption of our AI features You will work closely with our Partners to help drive success by exceeding portfolio KPIs (Partner CSAT, Fin Outcomes, Escalation Rate, and Project Management Compliance) You will own escalation and risk communication for at-risk projects — driving intervention and solutions while keeping Deployment Services and Sales leadership informed of status and path to resolution You will drive the overall efficiency of our Services Delivery Partner operations You will partner with the rest of the Deployment Services team, the Sales team, and the Customer Success team to deliver the best possible experience for new clients You’ll collaborate with our Customer Support and R&D teams to help coordinate resolution of issues, potential defects, and provide detailed product feedback around feature enhancements You will drive a Quarterly Business Review with each service partner to ensure we are tracking towards stated goals What skills do I need? 6+ years of work experience, with 4+ year(s) in an Implementation Manager role Technical Fluency: comfortable with core SaaS and AI concepts (APIs, integrations, LLM basics, automation logic) — enough to speak credibly with technical partner teams Positivity and Engagement: A genuine interest in the work you do and a positive attitude! Curiosity: a passion for learning, for technology, and for solving problems Training: the ability to make complex topics simple to understand Rapport Building: comfortable working with customers and consultants via video calls Adaptability: change is constant and the Deployment Services Team values experimentation to find the best processes and solutions Demonstrate the Fin Values: Customer Obsessed, Success First, Incredibly High Standards, Open Mindedness, Resilience, Impatience, Positive and Optimistic Bonus skills & attributes Experience training on SaaS products or specifically, experience with Fin Experience with AI Agents and / or Large Language Models Past experience managing projects delivered by Consulting Firms Past experience in Customer Success, Support, Sales Engineering, Consulting Great examples of self started projects with measurable success Experience with RESTful API Integrations *Proof of eligibility to work in the United States is required. The base salary range for candidates within the Greater Chicago Area is $139,300-$166,400. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Implementation is an activity every Fin customer experiences, whether purchasing Fin for the first time, expanding Fin use to a new team, or adopting new features! As a Partner Services Manager at Fin, you’ll share ownership of this crucial process alongside our Service Delivery Partners. Your primary responsibility is ensuring customers implement Fin’s suite of AI tools to solve their most complex problems and ultimately drive incredible value for their business. Partner Services Managers have an outsized impact on the company. If you want to help make business personal for our customers and you want to work with an ever growing and changing team, you’re in the right place! What will I be doing? You will act as the Fin owner of partner-delivered services projects and the liaison who ensures that Services Delivery Partners have a good experience working with Fin You will onboard and certify new Service Delivery Partners on Fin's product, methodology, and delivery standards, and continually uplevel existing partners as our product and best practices evolve You will enable partners to facilitate discovery of complex customer objectives and requirements and help translate them to items included in our deployment plans You will enable partners to execute tailored AI-first customer service strategies based on customer goals and drive product adoption of our AI features You will work closely with our Partners to help drive success by exceeding portfolio KPIs (Partner CSAT, Fin Outcomes, Escalation Rate, and Project Management Compliance) You will own escalation and risk communication for at-risk projects — driving intervention and solutions while keeping Deployment Services and Sales leadership informed of status and path to resolution You will drive the overall efficiency of our Services Delivery Partner operations You will partner with the rest of the Deployment Services team, the Sales team, and the Customer Success team to deliver the best possible experience for new clients You’ll collaborate with our Customer Support and R&D teams to help coordinate resolution of issues, potential defects, and provide detailed product feedback around feature enhancements You will drive a Quarterly Business Review with each service partner to ensure we are tracking towards stated goals What skills do I need? 6+ years of work experience, with 4+ year(s) in an Implementation Manager role Technical Fluency: comfortable with core SaaS and AI concepts (APIs, integrations, LLM basics, automation logic) — enough to speak credibly with technical partner teams Positivity and Engagement: A genuine interest in the work you do and a positive attitude! Curiosity: a passion for learning, for technology, and for solving problems Training: the ability to make complex topics simple to understand Rapport Building: comfortable working with customers and consultants via video calls Adaptability: change is constant and the Deployment Services Team values experimentation to find the best processes and solutions Demonstrate the Fin Values: Customer Obsessed, Success First, Incredibly High Standards, Open Mindedness, Resilience, Impatience, Positive and Optimistic Bonus skills & attributes Experience training on SaaS products or specifically, experience with Fin Experience with AI Agents and / or Large Language Models Past experience managing projects delivered by Consulting Firms Past experience in Customer Success, Support, Sales Engineering, Consulting Great examples of self started projects with measurable success Experience with RESTful API Integrations *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $154,800-$184,900. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Обязанности: — Разработка нового функционала на React и доработка уже существующего под руководством ментора — Работа в команде с ментором, участие в обсуждении задач, написание кода, покрытие функционала тестами — Заниматься саморазвитием и повышать свой технический опыт Требования: — Знание JavaScript — Начальные знания по React — Знание HTML5+CSS3, SASS/LESS Приветствуется: — Опыт работы с Redux, TypeScript — Знание протокола HTTP, REST — Опыт взаимодействия с WEB API — Опыт работы с различными UI библиотеками (Bootstrap, Material UI, Ant Design) — Опыт написания тестов Unit, E2E — Git / GitHub Условия: — Работа в удаленном формате — 8 часовой рабочий день — Обучение недостающим навыкам под руководством опытного наставника — Оплата по результатам собеседования

Location: United Kingdom (Hybrid) Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo we have team of ~135 member in our Credit Pillar. This function brings together several specialisms, all working toward managing portfolio performance; designing the systems, models, and controls that make lending sustainable. They drive to build and grow a portfolio of responsible EWA & Pay Later products that can scale across markets while protecting users from high cost debt trap. ABOUT THE ROLE ✍️ We’re hiring a hands-on Lead Product Manager to drive Cleo’s Credit products forward. You’ll lead a cross-functional squad to uncover customer needs, shape bold new product directions, and turn early-stage ideas into compelling, testable experiences for one of Cleo’s most important product areas. Key responsibilities - Identify high-potential product opportunities through customer insight, market understanding, and Cleo’s unique strengths. - Lead early-stage ideation, prototyping, and lean research to validate concepts and reduce uncertainty quickly. - Bring your squad together around a clear product vision, translating it into polished, high-quality experiences with Design and Engineering. - Partner with cross-functional stakeholders to shape product direction and solve complex customer problems. - Build persuasive narratives and data-informed business cases that communicate the value of new ideas and drive decisions. WHAT WE'RE LOOKING FOR 🕵️ - You should ideally have several years of relevant experience and passion for credit focused work at a senior level - Experience in consumer-facing fintech or personal finance products - You can share mobile app product work that demonstrates a proven record of driving high-quality execution in high-growth, fast-paced, product-led businesses - You are strongly outcome-focused, balancing business goals and user needs through small, rapid, experiment-led product improvements - You thrive on getting deep into the data and the details to optimise existing features and journeys - You are a proactive problem solver who can effectively bring structure to large or ambiguous problems to generate buy-in from stakeholders - You are a strong cross-functional collaborator who can partner successfully with tech and marketing stakeholders to deliver bottom line impact on growth WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: Ireland; London, England, United Kingdom About the Job: The Customer Success Manager reports directly into the regional CS leader and represents LaunchDarkly as the direct point-of-contact with our customers post-sales. They are LaunchDarkly subject-matter experts guiding our new and expanding customers towards implementation and adoption and helping them achieve their desired use-cases and realize value. The best candidate for this role will be passionate about customer success with a keen interest in software development and DevOps, balanced with a strong sales acumen. In LaunchDarkly GTM, we are all customer-obsessed and striving for massive year over year growth. Responsibilities: Customer Onboarding: You will shepherd in new customers from the sales handoff through successful activation in the product. This includes building out success plans to get customers up to speed in the platform, project management through onboarding, helping customers leverage the most appropriate enablement paths and assessing customer’s adoption on an ongoing basis. Risk Identification and Mitigation: You’ll work to proactively identify and diagnose risk inhibiting adoption or that may cause churn and contraction. You’ll own building a risk mitigation strategy and coordinating across the account team to effectively steer the customer to success. Technical Guidance: You’ll maintain a deep level of LaunchDarkly product knowledge and be expected to provide customers with direction on implementation and adoption best practices. Prescriptively Sell: You maintain a pulse on how our customers are tracking against their key goals and outcomes identifying opportunities for customers to purchase additional products, services and adopt new features needed for them to maximize the value of our solution. Trusted Advisor: You understand your customers like no other and have built enough trust to act as an extension of their team. You provide prescriptive guidance to customers to help them get the most out of their LaunchDarkly purchase. Build Champions & Executive Relationships: You are an expert champion builder. You consistently work to identify & support key advocates within your customers’ organization who actively promote the value of LaunchDarkly. In partnership with your Champion, you’re able to leverage success metrics & value driven insights to gain sponsorship at an Executive level. Renewal and Expansion focused: You are comfortable owning a number and forecasting on a weekly basis. You will work directly with customers, sales and deal desk to execute renewal agreements on time and to identify expansion opportunities within your accounts About You: Entrepreneurial and Self-Motivated: You are driven and proactive, taking ownership of your role and responsibilities. You operate with a high level of urgency at all times. You thrive in a fast paced, start-up environment. Passion for Learning and Growth: You are enthusiastic about continuous learning and personal development at LaunchDarkly. You view feedback as a necessity for growth so consistently seek it out and give it. Intellectual Curiosity: You have a hunger for knowledge and are naturally a question-asker. Excellent Communication: Your written and spoken communication skills are outstanding. Organized & Autonomous: You are capable of efficiently managing your workload and have a process for time management. You do not require a lot of external direction to prioritize your work. Highly Adaptable: You excel in a fast-paced and dynamic organizational setting. Strong Sales Acumen: You have a high level of sales acumen, strong negotiation skills and are eager to own a number. This is a commercially focused CS organization. Natural Problem Solver: You have strong critical thinking skills and enjoy the process of solving complex customer problems. You are able to escalate issues when necessary in a clear, effective manner. Team Player: You collaborate well with others, know when to pull specialists or leaders in and keep others informed proactively. Win as a team! Qualifications: 5+ years in a customer-facing role, ideally in account management, customer/partner success or onboarding/implementation with a track record of exceeding targets. Experience owning the renewal process and being held accountable to a retention quota. This is a commercially oriented Customer Success team. Strong discovery and qualification skills; training in Command of the Message, MEDDIC or another sales methodology is preferred. Strong project management skills. You should have experience holding customers and cross-functional teams accountable to a timeline. Experience working on a technical product, ideally interacting with developers or other technical personas as your primary customer. Experience within the DevOps space preferred. Experience with both proactive and reactive customer success motions. We will teach you all about LaunchDarkly, but you should have an existing level of technical knowledge and know-how. Proven ability to advocate for both your customers and your company. You know how to be the voice of the customer in the company while mediating between the customer's requests and the company's vision. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Annapolis, MD Position Objective: Responsible for all phases of Surgical Supply Chain Distribution activities including, inventory control, case cart preparation and supply distribution. Monitors and maintains surgical unit supply and patient equipment par levels to ensure that the evolving needs of staff and patients are met. Essential Job Duties: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Prepares daily case carts for surgical areas. Reports supplies and/or equipment outages to the appropriate coordinator for action; Processes supply returns to ensure accurate inventory levels; Processes requisitions for non-stock supplies. Checks sterilization expiration dates and rotates stock of med/surgical supplies on a regular basis. Removes outdated supplies according to established procedure. Performs periodic analysis of usage patterns and makes recommendations to appropriate personnel regarding standardization and usage. Responsible for maintaining assigned inventory locations and consignment supplies; Coordinates and communicates loaner equipment and technical support when necessary Assist in breaking down the case carts in the decontamination as needed Assist with emptying all washers and putting away the instruments trays according to the service line Assist with emptying the sterilization rack Assist with cleaning the case carts through the cart washers Educational/Experience Requirements: High School Diploma or equivalent required Required License/Certifications: N/A Working Conditions, Equipment, Physical Demands: There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands - The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. The above job description is an overview of the functions and requirements for this position.  This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Pay Range $17.50 — $20.10 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Wisconsin - Milwaukee Managed By: Owned By: About Us Park Lafayette Towers is owned by Cottonwood Residential and managed by Mandel Group. Together, our two organizations are partnering to hire an exceptional Property Manager for Park Lafayette Towers . Cottonwood Residential, based in Salt Lake City, Utah, and Mandel Group, headquartered in Milwaukee, Wisconsin, bring decades of multifamily experience and a shared commitment to creating exceptional communities and delivering outstanding resident experiences. We are excited to bring together the strengths and expertise of both organizations as we search for the next leader of the Park Lafayette community. About the Role The Property Manager is responsible for the overall performance, operations, and financial success of a multifamily community. This role leads all on-site functions, including leasing, resident experience, financial management, and property maintenance, while ensuring alignment with Cottonwood Residential’s standards and objectives. The Property Manager drives a culture of service excellence, accountability, and collaboration. This role is ideal for a results-driven professional who can balance financial performance, team leadership, and resident satisfaction to maximize asset value and deliver strong operational outcomes. Relocation assistance is available for qualified candidates. Key Responsibilities Financial & Asset Management Manage the financial performance of the community, including operating within budget and achieving revenue and expense targets Oversee rent collection, delinquency management, and bad debt recovery, including participation in legal proceedings as necessary Review and approve invoices to ensure accuracy, proper coding, and budget alignment Assist the Regional Manager in developing and managing the annual operating budget Analyze financial reports, occupancy trends, and market data to drive informed decision-making Operations & Property Oversight Oversee the daily operations of the community, ensuring efficiency, organization, and compliance with company policies Conduct regular property inspections to identify maintenance needs, safety concerns, and opportunities for improvement Oversee Self-Guided Tour operations, including unit readiness, signage, and daily inspections Coordinate with maintenance teams and external vendors to ensure timely completion of repairs and capital needs Maintain accurate and complete records, including resident files, vendor contracts, property inventory, and compliance documentation Ensure all administrative systems and property management data are accurate and up to date Leasing, Marketing & Resident Experience Develop and execute marketing and leasing strategies to achieve occupancy and revenue goals Conduct regular market surveys and competitive analysis to inform pricing and positioning Oversee leasing performance, ensuring effective use of sales techniques and marketing tools Implement resident retention programs to drive renewals and satisfaction Ensure a high level of responsiveness to resident requests and service needs Plan and support resident engagement initiatives and community events Team Leadership & Development Lead, coach, and develop all on-site office and maintenance team members Oversee hiring, onboarding, training, scheduling, and performance management for the community team Foster a strong team culture focused on accountability, collaboration, and service excellence Provide ongoing feedback, coaching, and development opportunities to support team success Set clear expectations and monitor performance against property and company goals Compliance & Risk Management Ensure compliance with company policies, safety standards, and all applicable local, state, and federal regulations Promote safety awareness and ensure adherence to OSHA standards across the community Identify and address potential risks, safety hazards, and operational concerns proactively Maintain appropriate documentation for permits, licenses, and regulatory requirements What You Bring High school diploma or GED required; college degree preferred Professional designations such as CAM, ARM, or CCRM preferred 3+ years of experience in multifamily property management 3+ years of experience leading, developing, and managing on-site teams Strong financial acumen, including budgeting, reporting, and expense management Solid understanding of leasing, marketing strategies, and resident retention Excellent communication, leadership, and interpersonal skills Strong organizational skills with attention to detail and ability to manage multiple priorities Effective problem-solving skills with the ability to make sound decisions in a fast-paced environment Proficiency in Microsoft Office Suite Experience with Entrata, REBA, or similar systems Self-starter with strong initiative, accountability, and a results-driven mindset Flexibility to work extended hours, including time prior to office opening Ability to walk the property, stand for extended periods, and work both indoors and outdoors as needed Physical Requirements Stand or walk or sit alternatively depending on the day’s needs. Estimate 70% of time is spent on feet and 30% sitting at a desk Bending, stooping, and squatting for filing and picking up litter around the property frequently Ability to climb stairs frequently needed to show and inspect the property Pushing and pulling doors/cabinets to inspect the property frequently Reaching above the shoulders for supplies and inspecting the property frequently Writing/typing for communication frequently Grasping/turning for telephone and doorknob use frequently Finger dexterity to operate office equipment frequently Lifting/carrying 10-25 lbs. occasionally needed Constant need for vision in small detail and beyond arm’s reach to view computer screens, reports, forms, inspecting property, etc. Constant need for hearing to communicate with staff, vendors, residents, and prospects in person and on the telephone Why Join Us? At Park Lafayette, you’ll have the opportunity to join a team supported by the experience and resources of both Mandel Group and Cottonwood Residential. Together, we share a commitment to operational excellence, collaboration, and creating exceptional living experiences for our residents. As Property Manager, you’ll play an important leadership role at Park Lafayette, with the support of two experienced multifamily organizations committed to the success of the community and its team. We offer competitive compensation and benefits, professional growth opportunities, and the chance to make a meaningful impact at a premier community. Cottonwood Residential is an equal opportunity employer. Applicant Communication & AI Disclosure Cottonwood Residential uses AI-assisted technology and authorized recruiting partners to support our hiring process. By applying, you acknowledge that you may communicate with AI-powered systems during scheduling, candidate outreach, or preliminary interviews, and that interviews may be recorded, transcribed, and summarized for evaluation by our hiring team. By applying, you consent to receiving communications regarding your application by phone, text message, email, or other electronic means. Hiring decisions are solely made by Cottonwood Residential. At Cottonwood Residential, we're committed to creating an exceptional customer experience through innovation and service. As an early adopter of Self-Guided Tours, we've made apartment searching more convenient and accessible for our customers. We're looking for team members who are eager to learn, embrace new ideas, and create meaningful connections with every interaction. Join us in helping every customer feel Home at Last!