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Location: Berlin Our Story Founded in 2009, we’re one of the world’s leading game studios, and proud of our extremely international team, consisting of more than 50 different nations. We are part of Playtika and the global leader in the category of Hidden Object Games. With June’s Journey, we’re providing joy for millions of players around the world every day. How we work Our aim is to keep doing so for many more years, if not decades. In order to be able to do so, we’ve defined a distinct way of how we’re working at Wooga, so that all relevant aspects intertwine and have a positive impact on the game. No matter if you’re part of a game team or support the success of Wooga as part of a central team, all 250+ employees from around the world can make an impact. We’re proud of the environment we’ve built, and believe you’ll enjoy working with some of the best people in the industry. Our drivers: Speed, Focus, Ownership, and Impact, guide our working style at Wooga and help us make a deliberate choice to focus on what is important to us, while working towards a shared goal. These drivers shape how we work together and what we expect from ourselves and our leaders. As a Mid-level Marketing Data Analyst, you will analyze large-scale data across user acquisition touchpoints in order to generate insightful metrics, custom dashboards, and deep-dive analyses to measure marketing performance. Our marketing teams aim for best-in-class user acquisition strategies, bringing high-quality players to our games while driving innovation around performance marketing and targeted campaigns. We're looking for a passionate, results-oriented talent to join our team, develop new insights to shape data-driven decisions, continuously improve marketing efficiency, and help drive business growth for years to come. About the job Design, build, and maintain automated, interactive dashboards in Tableau to give the Marketing team up-to-date visibility into performance and KPIs. Dive deep into large-scale marketing data to identify key insights that will inform user acquisition strategies and business growth. Help define how best to measure and monitor our marketing channels, creatives, budget allocation, and overall campaign performance. Help to develop an analysis strategy and perform analysis of complex campaigns and A/B tests, both systematically and on a one-off basis. Provide data-driven recommendations to help Marketing Managers optimize their campaigns across various channels (e.g., Facebook Audience Network, Snapchat, TikTok). Partner with Data Engineering on data gathering and signal sharing, integrating 3rd-party data providers (e.g., AppsFlyer, Kochava), democratizing data with reporting tools, AI Agents, and innovating workflows. Communicate actionable results and data-driven findings across the organization clearly and concisely. About you You have recent experience in a data analyst role, preferably in digital advertising, performance marketing, or the app industry. You have experience with (app) Attribution Services (eg: AppsFlyer or Kochava). Literacy on Agentic Workflows, and other productivity and modern self-service data innovations. You can use SQL effectively within an enterprise data environment and you have a good understanding of commonly applied statistical techniques. Basic understanding of programming is not required, but is appreciated. You have strong experience using Tableau (or similar) to build interactive dashboards and visualizations. You have good problem-solving skills and can look for logical connections between marketing spend, consumer behavior, and data. You have a deep understanding of the digital advertising market,including communication patterns as they relate to consumer marketing. You are in tune with user acquisition patterns, and you understand mobile app growth. You know your way around designing, communicating, visualizing, or reporting your results/analysis so they are clear and unambiguous to both technical and non-technical audiences. Please note: Research has shown that some under-represented groups in the gaming industry (eg: women) tend to apply only if they meet every single requirement. Here at Wooga, the desire to learn and the willingness to solve problems are more important to us than your experience on paper. We encourage you to apply even if you do not think that you tick all the boxes - thinking outside of such boxes and embracing the diversity of mindsets and backgrounds is what we believe makes our teams thrive. Our Promise Shape the future! Challenge the status quo and team up with a diverse group of experts (over 50 nationalities!) working on crafting the world’s best games. We offer a generous relocation package and home search support if you are not already located in Berlin. Did we mention that we also cooperate with Kindergartens? Make use of a significant education budget and extra days off for self-development. Join our meet-ups, talks, brown bag lunches, internal trainings, workshops and many others. Enjoy the pilates, mindfulness app, sports and transport subsidies. And a Purpose Day to donate your time to a worthy cause! Did you know that German is the third most commonly taught language worldwide? Learn it too! We offer German language classes for you and your significant other. With our hybrid work model you will work in the office with your teams twice a week, to encourage in-person collaboration and team bonding. The other three days you can choose if you want to work from home or from the office. We also offer 10 days a year to work from abroad. At Wooga we are committed to providing a friendly, safe and welcoming environment for everyone who works here or with us, regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, religion (or lack thereof) and game preferences. Be yourself, we like you that way! By clicking “Submit Application” you acknowledge that you have read our Candidate Privacy Policy

Location: Hyderabad, Telangana, India 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 . Role: Forward-Deployed AI Engineer — Enterprise AI Location: Hyderabad, India Experience Level: 8+ years Work Model: Hybrid, 3 days per week in office Employment Type: Full Time Why Join Enterprise AI? Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it. You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders. You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be exactly the challenge you’re looking for. As a Forward-Deployed Engineer, You Will Find the Problem Worth Solving Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive. Build Beyond the Frontier Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale. Own the Outcome You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost. The Anti-Sell High ownership and intensity: This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges. Client-first and hybrid: This role is based in Bengaluru or Hyderabad and requires working from the office three days per week. Candidates must currently be based in one of these two cities. Relocation assistance is not available. You’ll help write the playbook: Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one. Our Forward-Deployed Engineers Typically Have Deep production engineering experience: Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure. Hands-on agentic AI experience: Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows. Strong retrieval depth: Experience building and improving production retrieval systems, with a practical understanding of embeddings, vector and hybrid search, reranking, evaluation, and diagnosing retrieval quality. End-to-end systems ownership: A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost. Exceptional customer and technical leadership: The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives. Client-ready communication: The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure. 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: Bengaluru, Karnataka, India 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 . Role: Forward-Deployed AI Engineer — Enterprise AI Location: Bengaluru, India Experience Level: 8+ years Work Model: Hybrid, 3 days per week in office Why Join Enterprise AI? Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it. You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders. You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be exactly the challenge you’re looking for. As a Forward-Deployed Engineer, You Will Find the Problem Worth Solving Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive. Build Beyond the Frontier Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale. Own the Outcome You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost. The Anti-Sell High ownership and intensity: This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges. Client-first and hybrid: This role is based in Bengaluru or Hyderabad and requires working from the office three days per week. Candidates must currently be based in one of these two cities. Relocation assistance is not available. You’ll help write the playbook: Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one. Our Forward-Deployed Engineers Typically Have Deep production engineering experience: Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure. Hands-on agentic AI experience: Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows. Strong retrieval depth: Experience building and improving production retrieval systems, with a practical understanding of embeddings, vector and hybrid search, reranking, evaluation, and diagnosing retrieval quality. End-to-end systems ownership: A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost. Exceptional customer and technical leadership: The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives. Client-ready communication: The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure. 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: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets. Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice-to-haves Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands; Berlin, Germany; Israel; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets. Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice-to-haves Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, United Kingdom Workplace: hybrid About the Company Global University Systems (GUS) is one of the world’s most dynamic, inclusive, and diverse education organisations. GUS is an international network of higher education institutions, brought together by a shared passion for accessible and industry-relevant qualifications. We deliver a wide variety of programmes, including bachelor’s degree programmes, master’s degree programmes, professional training, English Language training, and corporate & executive education. When someone chooses to study at one of our institutions, whether on campus in Europe, North America, Asia or even in their own home, they are joining a network of over 100,000 students worldwide. When you decide to work with GUS, you will be joining an industry leading, global organisation that has a reach in over 150 different countries. Role Summary Are you a gifted wordsmith with a knack for transforming ideas into compelling stories that engage audiences and drive action? As a Creative Copywriter at GUS, you will leverage innovative writing techniques and digital tools to captivate our prospective students and meet our organizational goals. We're looking for creative individuals with a passion for excellence and a drive for results. As a Creative Copywriter, you will contribute to GUS' worldwide content initiatives, harnessing the power of technology and digital platforms to create unique and engaging campaigns that resonate with our brand's ethos. Your work will span across various channels, including organic and paid social media, PPC, SEO and local marketing efforts, harmonizing these elements to build a best-in-class content portfolio. To excel in this role, you should be an exceptional communicator with a proven ability to conceptualize and implement creative ideas. You should know when to apply technology to accelerate the writing process and when human creativity is essential to the process. To be an ideal candidate, you will have had extensive experience producing powerful written content for multinational companies. You should be a natural team player who wants to contribute to a creative environment where everyone can produce their best work. If you're a passionate communicator who is excited by the prospect of shaping the future narratives of our brands and making an impact on a global scale, we invite you to apply for this exhilarating opportunity. Key Activities and Responsibilities As a Creative Copywriter at GUS, you will be responsible for: · Developing compelling and creative copy for various organic and paid mediums, including social media, PPC, SEO, print and digital campaigns, and email journeys, while ensuring consistency in tone, style, and voice across all platforms and institutions. · Utilizing technology and AI tools to enhance the copywriting process, while understanding when a human touch is necessary for the crafting of content. · Working in alignment with the overall company's goals and marketing strategies, ensuring that your written content supports these objectives and helps to deliver the desired message to the targeted audience. · Staying up to date on the latest trends in content and copywriting, implementing best practices in daily tasks and continuously seeking innovative ways to improve the quality and impact of written content. · Working in coordination with the marketing teams to maintain a content calendar that aligns with the company's broader marketing and business goals. · Ensuring all content and communication efforts take diversity, equity and inclusion (DEI) into consideration. · Contributing to content audits on a regular basis to assess the effectiveness of our copywriting efforts, providing useful recommendations for improvements based on key metrics and analysis. · Assisting in managing relationships with GUS’ internal brand partners, ensuring clear, persuasive and effective copy is provided for all collaborative efforts. · Maintaining a high level of quality control to ensure all produced copy aligns with brand guidelines and is free of errors. Qualifications and Education Essential · Undergraduate level or equivalent work experience Desirable · Digital marketing qualification · Writing qualification Experience · Significant (5+ years) experience in creative copywriting for multiple channels, including social media, PPC, SEO, content marketing and PR. · Demonstrated experience (2+ years) in a team-oriented environment, with the ability to collaborate and contribute to team projects. · Strong research and analytical skills, including the ability to understand audience sentiment, analyse content performance and optimize copy based on performance data. · An understanding of, and demonstrated interest in, emerging technologies that may impact copywriting including generative AI, automation tools, and data analytics. · Strong project management skills, including the ability to manage multiple projects simultaneously, while ensuring timely execution. · Excellent communication and interpersonal skills, including the ability to effectively present ideas to internal stakeholders and collaborate with cross-functional teams. · Proven experience working collaboratively with an international team. · Strong problem-solving skills and the ability to think strategically and creatively to continually improve the company's content and copywriting strategy. · Expertise in Microsoft Office, particularly Word and PowerPoint. · Fluency in English with excellent writing and editing skills, with a strong grasp of grammar and style. · Knowledge of AP Style or other major style guides is a plus. · A portfolio of work that demonstrates your writing abilities and creative skills. · A demonstrated passion for the educational space · Experience with content-related tools and services including SEO tools (such as SEMRush, Ahrefs), social media management tools (such as Buffer, Hootsuite) and content management systems (such as WordPress). · Experience in digital marketing including SEO, social media advertising and content marketing. The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and will comply with the code of conduct as well as equality and diversity, health and safety and safeguarding policies. Please note that this will be a part-time role involving working 3 days a week. Other information We acknowledge receipt of your resume for a position at Global University Systems and sincerely appreciate your interest in our company. We will screen all applicant CVs and select the candidates whose qualifications and experience meet our requirements. Please note due to the high volume of applications we will only contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.

Location: London, United Kingdom Workplace: hybrid About the Company Global University Systems (GUS) is one of the world’s most dynamic, inclusive, and diverse education organisations. GUS is an international network of higher education institutions, brought together by a shared passion for accessible and industry-relevant qualifications. We deliver a wide variety of programmes, including bachelor’s degree programmes, master’s degree programmes, professional training, English Language training, and corporate & executive education. When someone chooses to study at one of our institutions, whether on campus in Europe, North America, Asia or even in their own home, they are joining a network of over 100,000 students worldwide. When you decide to work with GUS, you will be joining an industry leading, global organisation that has a reach in over 150 different countries. Role Summary Are you a gifted wordsmith with a knack for transforming ideas into compelling stories that engage audiences and drive action? As a Creative Copywriter at GUS, you will leverage innovative writing techniques and digital tools to captivate our prospective students and meet our organizational goals. We're looking for creative individuals with a passion for excellence and a drive for results. As a Creative Copywriter, you will contribute to GUS' worldwide content initiatives, harnessing the power of technology and digital platforms to create unique and engaging campaigns that resonate with our brand's ethos. Your work will span across various channels, including organic and paid social media, PPC, SEO and local marketing efforts, harmonizing these elements to build a best-in-class content portfolio. To excel in this role, you should be an exceptional communicator with a proven ability to conceptualize and implement creative ideas. You should know when to apply technology to accelerate the writing process and when human creativity is essential to the process. To be an ideal candidate, you will have had extensive experience producing powerful written content for multinational companies. You should be a natural team player who wants to contribute to a creative environment where everyone can produce their best work. If you're a passionate communicator who is excited by the prospect of shaping the future narratives of our brands and making an impact on a global scale, we invite you to apply for this exhilarating opportunity. Key Activities and Responsibilities As a Creative Copywriter at GUS, you will be responsible for: · Developing compelling and creative copy for various organic and paid mediums, including social media, PPC, SEO, print and digital campaigns, and email journeys, while ensuring consistency in tone, style, and voice across all platforms and institutions. · Utilizing technology and AI tools to enhance the copywriting process, while understanding when a human touch is necessary for the crafting of content. · Working in alignment with the overall company's goals and marketing strategies, ensuring that your written content supports these objectives and helps to deliver the desired message to the targeted audience. · Staying up to date on the latest trends in content and copywriting, implementing best practices in daily tasks and continuously seeking innovative ways to improve the quality and impact of written content. · Working in coordination with the marketing teams to maintain a content calendar that aligns with the company's broader marketing and business goals. · Ensuring all content and communication efforts take diversity, equity and inclusion (DEI) into consideration. · Contributing to content audits on a regular basis to assess the effectiveness of our copywriting efforts, providing useful recommendations for improvements based on key metrics and analysis. · Assisting in managing relationships with GUS’ internal brand partners, ensuring clear, persuasive and effective copy is provided for all collaborative efforts. · Maintaining a high level of quality control to ensure all produced copy aligns with brand guidelines and is free of errors. Qualifications and Education Essential · Undergraduate level or equivalent work experience Desirable · Digital marketing qualification · Writing qualification Experience · Significant (5+ years) experience in creative copywriting for multiple channels, including social media, PPC, SEO, content marketing and PR. · Demonstrated experience (2+ years) in a team-oriented environment, with the ability to collaborate and contribute to team projects. · Strong research and analytical skills, including the ability to understand audience sentiment, analyse content performance and optimize copy based on performance data. · An understanding of, and demonstrated interest in, emerging technologies that may impact copywriting including generative AI, automation tools, and data analytics. · Strong project management skills, including the ability to manage multiple projects simultaneously, while ensuring timely execution. · Excellent communication and interpersonal skills, including the ability to effectively present ideas to internal stakeholders and collaborate with cross-functional teams. · Proven experience working collaboratively with an international team. · Strong problem-solving skills and the ability to think strategically and creatively to continually improve the company's content and copywriting strategy. · Expertise in Microsoft Office, particularly Word and PowerPoint. · Fluency in English with excellent writing and editing skills, with a strong grasp of grammar and style. · Knowledge of AP Style or other major style guides is a plus. · A portfolio of work that demonstrates your writing abilities and creative skills. · A demonstrated passion for the educational space · Experience with content-related tools and services including SEO tools (such as SEMRush, Ahrefs), social media management tools (such as Buffer, Hootsuite) and content management systems (such as WordPress). · Experience in digital marketing including SEO, social media advertising and content marketing. The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and will comply with the code of conduct as well as equality and diversity, health and safety and safeguarding policies. Please note that this will be a part-time role involving working 3 days a week. Other information We acknowledge receipt of your resume for a position at Global University Systems and sincerely appreciate your interest in our company. We will screen all applicant CVs and select the candidates whose qualifications and experience meet our requirements. Please note due to the high volume of applications we will only contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.

Location: Remote: India About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. As our Senior Enterprise Account Executive, you will partner with executive leadership at top Indian organisations to unlock the power of data and AI using Neo4j’s industry-leading data intelligence platform. Why Top Revenue Leaders Choose Neo4j Category Creator & Market Leader: Backed by over $600M in funding ($325M Series F) at a $2B+ valuation, with $200M+ in ARR. Proven ROI: A recent Forrester Total Economic Impact™ study showed a 417% ROI for Neo4j customers. Enterprise Dominance: Trusted by 84% of the Fortune 100, including premier global financial services providers. The AI Wave: Neo4j sits at the center of the next major enterprise shift: combining Knowledge Graphs with LLMs (GraphRAG) to eliminate AI hallucinations in mission-critical environments. What You’ll Do Grow the India Market: Lead strategic account planning and execution across a high-value portfolio of large enterprise customers alongside high-growth greenfield prospects. Drive High-Impact Sales Cycles: Execute value-based, consultative sales strategies (MEDDPICC) across C-level, Line-of-Business, and Chief Data/AI Officer stakeholders. Land & Expand: Balance hunting new enterprise logos with driving workload expansion within established accounts—scaling adoption into new business units and high-value use cases. Partner with Cloud Ecosystems: Co-sell and align strategic account plans with local hyperscaler ecosystems (AWS, Microsoft Azure, Google Cloud) and Global Systems Integrators (GSIs). Orchestrate High-Performance Squads: Align internal Pre-Sales Engineering, Field Marketing, and Customer Success resources to qualify, scope, and deliver impactful Proofs of Value (POVs). Maintain Sales Rigor: Drive predictable forecasting and pipeline hygiene within Salesforce.com. What You’ll Bring Location Requirement: This role is only open to candidates based in Mumbai as you will be required to regularly meet with customers and partners located there. 10+ years of enterprise software sales experience, with a direct focus on selling complex data platforms, cloud infrastructure, analytics, or enterprise software into the India market. Proven track record of exceeding quotas and closing multi-year enterprise deals ($500k–$1M+ ACV) into major customers. Methodology mastery & expertise in structured sales frameworks (MEDDPICC, Challenger, Command of the Message) navigating complex multi-stakeholder deals. Strong existing relationships across C-suite executives, enterprise data architects, and line-of-business owners across large enterprise customers. Preferred Experience Experience selling modern cloud-native database platforms, distributed systems, analytics infrastructure, or AI/ML technologies. Experience co-selling alongside public cloud providers (AWS, Azure, GCP) and major consulting partners in India. Willingness to travel to meet with customers, partners and teams as required. Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Claude's capabilities grow, so does our responsibility to ensure those capabilities reach the right people. The Access Programs team builds the systems that verify who our customers are, grant access to advanced model capabilities for approved use cases, and ensure that access is not misused. As a software engineer on this team, you will build the identity, vetting, and access management infrastructure that underpins our trusted access programs, along with the monitoring and enforcement tooling that keeps them safe. This work sits at the center of how Anthropic deploys frontier capabilities responsibly, balancing broad access with rigorous safeguards. Responsibilities: Build identity verification and vetting systems (KYC/KYB) that establish who our individual and business customers are Design and implement access control systems that grant, scope, and revoke access to advanced capabilities based on approved use cases Build infrastructure to configure safety systems and detection thresholds on a per-customer basis for trusted access programs Develop monitoring to detect misuse of expanded access, and tooling that enables enforcement teams to act on it Partner closely with policy, enforcement, threat intelligence, product, research, and go-to-market teams so that access decisions are well-informed and consistently applied Build systems that identify account compromise and takeover, apply mitigations in real time, and carry affected accounts through to full remediation Design and build the dashboards, alerting, and internal admin tooling that give the team and its partners clear visibility into the health and outcomes of our access programs Integrate with third-party identity verification and data enrichment vendors You may be a good fit if you have: A Bachelor's degree in Computer Science, Software Engineering, or comparable experience Experience building and operating backend systems in production Strong coding skills in at least one general-purpose programming language, and experience building software with AI coding tools Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Care about the societal impacts of AI and want your work to make powerful systems safer Strong candidates may also: 8+ years of industry software engineering experience Experience building shared platforms or foundational services that many teams and products depend on, rather than one-off solutions for a single use case A track record of working across functions (for example engineering, product, policy, operations, and go-to-market) to gather requirements, reconcile competing needs, and drive adoption of what you build Experience with identity, authentication, or authorization systems at scale Experience with KYC/KYB workflows or identity verification vendors Experience in trust and safety, integrity, fraud, or abuse detection Experience detecting and responding to account takeover or credential compromise Experience partnering with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Build abuse detection mechanisms and infrastructure Surface abuse patterns to our research teams to harden models at the training stage Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you have: A Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python and Typescript An ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it. You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here. WHAT YOU'LL DO - Own detection and response end to end: what we log, what we alert on, how we triage and how we recover - Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume - Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read - Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit - Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls - Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one - Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find - Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team - Participate in an on-call rotation for security incidents WHAT YOU'LL NEED - Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward - Experience building and tuning detections in a modern SIEM, ideally managed as code - Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs - Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools - Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity - Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job - Judgment about what to alert on, what to automate and when to wake someone up EVEN BETTER IF YOU HAVE - Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets - Experience building detections or guardrails for AI agents, LLM tooling or MCP servers - Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody - Published open source detection content Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring an Infrastructure Security Engineer to secure the platform our models are trained and served on. The role covers Kubernetes platform security, cloud identity and access, software supply chain, tenant isolation in the serving layer and the research infrastructure behind our models. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline, and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what the platform has to enforce to stop it. This is a hands-on engineering role on the Security team. You'll write policy, tooling and infrastructure code, work in the platform team's repositories, and ship controls that hold up in production. WHAT YOU'LL DO - Design and ship security controls in our Kubernetes ecosystem: admission policy, RBAC, workload identity, network policy and runtime hardening across every cluster we run - Harden the software supply chain from dependency intake through build and deploy, including package firewalling, artifact signing and provenance, and admission controls that block what doesn't pass - Own cloud IAM and identity architecture: least-privilege roles, short-lived credentials and workload federation - Secure research infrastructure and training pipelines, including access to model weights and datasets, without slowing down the people using them - Threat model new platform components before they ship and turn the findings into concrete requirements the owning team can act on - Build guardrails for AI agents and developer tooling operating inside our infrastructure - Write infrastructure as code and policy as code, and treat security configuration with the same review and rollout discipline as any other change - Give the incident response team what they need when infrastructure is involved: fast answers about how a system works and what to shut off WHAT YOU'LL NEED - Hands-on experience securing Kubernetes in production: you've written admission policies, debugged RBAC and workload identity problems and understand how a cluster gets compromised - Working knowledge of cloud IAM and networking on at least one major cloud platform, including how identity federation and short-lived credentials actually work - Experience with infrastructure as code and GitOps-style deployment, and the habit of shipping security changes through the same pipeline as everything else - Comfort writing Python, Typescript, Rust or another language to build tooling, not just scripts - An understanding of software supply chain attacks and the controls that stop them: signing, provenance, SBOMs, admission enforcement - Clear writing. Design docs, threat models and explanations to engineers who don't work in security are all part of the job - Judgment about which controls to enforce, which to recommend and how to roll out a breaking change without breaking the company EVEN BETTER IF YOU HAVE - Experience securing GPU or HPC-style compute, training pipelines or research environments - Experience with policy engines and admission controllers (Kyverno, OPA Gatekeeper, Falco or similar) - Multi-tenant isolation design in a cloud environment: ABAC, scoped credentials, per-tenant boundaries - Experience producing security architecture evidence for SOC 2, ISO 27001 or other audits and customer assessments - Open source contributions or published work in cloud or Kubernetes security Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Office of the Chief Commercial Officer is a small team that works directly with our CCO, go-to-market leadership, and company leadership on Anthropic’s highest-priority commercial initiatives. We take on problems that do not sit cleanly inside one team, such as standing up a program that spans Product, Finance, Legal, and Sales, or preparing the material our executives and Board use to make decisions. Our commercial business is growing faster than its operating processes can be built, so a growing share of the job is stepping into gaps and running something important, while making sure other teams are building the capabilities to permanently own. You will own workstreams end to end. One week that means running the go-to-market side of a pressing situation, from the communications plan for customers and account teams to the daily readout for executives. Another week it means building the analysis behind a resourcing decision or a new program and writing it up for the CCO. This is an internal role. You will report to the CCO’s chief of staff, and you will have an unusually broad view of how the company makes decisions. Key Responsibilities: Drive priority go-to-market initiatives from plan to delivery, removing blockers, escalating early, and connecting the right people across teams at the right time Build the analysis, draft the document or deck, and turn input from many teams into a recommendation executives can act on Prepare content for the CCO and leadership team, including weekly staff meetings, updates to the Office of the CEO, Board materials, and leadership offsites Track the go-to-market organization’s top priorities and keep a current view of status, owners, and risks Act as a bridge between go-to-market and Product, Finance, Legal, Safeguards, and Research, so that what account teams hear from customers reaches product decisions and those decisions reach account teams in a usable form Step in where something important has no clear owner, run it until it has a permanent home, and hand it over cleanly Close out same-day executive requests quickly and to a high standard You may be a good fit if you: Have 4+ years of experience in management consulting, strategy and operations, a chief of staff team, or a similarly rigorous environment working with senior executives Structure ambiguous problems well and get to a clear recommendation Can get to a number yourself in a spreadsheet, in SQL, or with Claude, check it against a second source, and explain where it came from Write and speak clearly and briefly for executive audiences Are as willing to maintain the tracker and chase the last open items as to write the strategy Are comfortable with significant autonomy and with priorities that shift on short notice, pay close attention to detail, and know when to escalate Build trust quickly with senior people across the company who are short on time Use AI tools as a core part of how you work Care about Anthropic’s mission and about getting safe, useful AI to customers Strong candidates may also have Experience in technology, SaaS, or enterprise software, or exposure to go-to-market strategy, sales operations, or customer success Experience running a product launch, a program office, or another cross-functional effort with many owners and a fixed date Familiarity with how large enterprises buy and adopt technology, including security, legal, and procurement review The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Santa Monica, California Workplace: hybrid About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role: Lyra is seeking an enthusiastic, highly organized, and seasoned Executive Assistant to support our new Chief People Officer (CPO) and other Executives while overseeing operations for our Santa Monica office space. In this dual-impact role, you will serve as a strategic partner and extension of the C-Suite, managing seamless day-to-day operations, executive communications, and high-priority People team initiatives. Additionally, you will serve as the heartbeat of our Santa Monica office, a strong ambassador of our company and local culture, office management, and spatial and event logistics. Your warm, approachable style, high emotional intelligence, and commitment to discretion and confidentiality will be integral to supporting our executive leadership and cultivating an engaging workplace culture. Responsibilities Executive Support (CPO and other Executives as needed) Manage complex calendar scheduling, travel logistics, and day-to-day priorities for the Chief People Officer and other Executives. Handle sensitive, confidential HR, personnel, and organizational planning data with complete discretion. Screen, prioritize, and manage incoming executive correspondence, ensuring timely follow-ups and seamless communication flow. Draft, edit, and proof executive communications, presentation decks, and strategic materials for internal leadership and external partners. Provide support for Board of Directors and Compensation Committee meetings, including compiling materials, taking meeting minutes, and tracking action items. Facilitate communication and alignment between the CPO, other Executives, and the People/Talent teams, and key internal/external business stakeholders. Santa Monica Office Management Oversee day-to-day operations of the Santa Monica office space, ensuring a functional, clean, welcoming, and productive work environment. Act as the primary on-site point of contact for Santa Monica employees, visiting executives, property management, vendors, and guests. Manage office vendor relationships, facilities logistics, physical access/security badges, office supplies, catering, and mail/deliveries. Plan and execute local Santa Monica culture initiatives, team-building activities, holiday events, and hybrid/onsite meeting logistics. Maintain office budget tracking, expense reporting, and vendor invoicing. Qualifications 8+ years of experience supporting C-Suite executives; direct experience supporting a CPO, CHRO, or CEO preferred. Proven experience managing physical office space operations and facilities logistics. Background in a fast-paced, growth-stage, or public company environment. Deep experience handling sensitive and confidential HR/personnel information with absolute discretion. Exceptional written and verbal communication skills with high attention to detail. Kind, warm, positive, and proactive demeanor with a strong customer-service mindset. High adaptability to changing priorities in a dynamic, hybrid work setup. Advanced proficiency with Google Workspace (Gmail, Calendar, Docs, Sheets, Slides), Slack, and modern workplace tools. Ability to be on-site at the Santa Monica office on a hybrid/regular schedule as required by office operations, CPO, and other Executives presence. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Executive Assistant, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $118,000 to $162,500. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.   Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:  Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave  401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!   We can’t wait to meet you.

Location: United States Workplace: remote Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Summary: As a Product Marketing Manager, you will be a key part of the execution engine behind Filevine's go-to-market motions. You will take our sophisticated Legal Operating Intelligence System capabilities and turn them into highly effective customer-facing assets, product content, and targeted tier-1 through 3 launches. Working directly at the intersection of Product Management, Sales, and Marketing, you are responsible for keeping pace with an AI-forward environment where speed wins. This role requires a highly technical, execution-oriented marketer who thrives under tight timelines and loves getting their hands dirty building collateral, analyzing competitors, and helping cross-functional teams move forward together. What You'll Do: Product Content & Technical Literacy Messaging and Positioning: You will own messaging and positioning of the individual products within the portfolio for business partners and stakeholders. Collateral Engine: Author high-impact, foundational product content, customer presentations, pitch decks, feature blogs, and clear value-proposition briefs. Technical Literacy Translation: Take complex, technical AI architectures and LLM capabilities and translate them into intuitive, emotionally resonant customer facing collateral. Flawless Execution: Maintain high-quality craftsmanship while building assets rapidly to match the velocity of our product engineering cycle. Launch Execution & GTM Orchestration Cross-Functional Delivery: Partner closely with Product Management, Sales, and Marketing teams to ensure everyone contributes effectively to GTM strategies and hits their respective milestones. Use Case Activation: Deeply understand buyer behaviors to develop and activate Filevine’s core use-case messaging, ensuring our positioning resonates from solo practitioners to enterprise legal teams. Understanding various types of legal practices is a must, direct legal industry experience is a strong plus! Sales Enablement & Battlecard Culture Battlecard Architecture: Conduct ongoing competitive research to build, update, and deploy actionable battlecards and win/loss insights to keep Sales ahead of legacy tech and AI point solutions. Revenue Enablement Support: Support the implementation of comprehensive training programs to ensure Sales, Product Management, and Partner teams can effectively position Filevine’s unique advantages. Market and analyst relations/awareness : Track competitive and analyst environment to support briefings and reports that help to shape how Filevine is seen/understood by the market Win/loss discipline: Own a consistent win/loss practice and turn the findings into positioning changes. Preferred Technical Acumen Generative AI & LLMs: Comfort with technical concepts, APIs, modern software architectures, and specific familiarity with Generative AI, LLMs, or legal workflows. Technical Translation: Ability to translate complex technical concepts and SaaS architecture into clear, compelling customer-facing materials and value propositions. Cross-Functional Tech Alignment: Ability to collaborate effectively with Product Management and Engineering teams to translate product roadmaps into GTM strategies. Qualifications: Professional Experience: 3–5 years of dedicated product marketing experience within a B2B SaaS environment, ideally experiencing the high-growth transition from Series C to IPO. Previous experience as a legal professional is a strong plus. AI-Forward Execution & Velocity: Proven experience working in a fast-paced technology or AI environment. You understand that speed wins, and you have a track record of flawlessly executing GTM tasks under tight timelines. Proactive Writer & Practitioner: A stellar portfolio demonstrating your ability to write clear, compelling product content and high-stakes customer-facing presentations. Cross-Functional Collaboration: Strong interpersonal skills with demonstrated success partnering across product, sales, and marketing teams to execute unified strategies. Analytical & Technical Curiosity: Comfort with technical concepts, APIs, and modern software architectures. Specific familiarity with Generative AI, LLMs, or legal workflows is highly advantageous. Education: Bachelor’s degree in Marketing, Business, Technical Writing, or a related field. A JD is also accepted and encouraged. Compensation Information: $120k - 140k   The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package. Work Location Expectation: Filevine maintains offices in Salt Lake City, San Francisco, Chicago, and New York. Candidates based in or near these metropolitan areas will work on a hybrid or in-office schedule, while candidates located outside these regions are eligible for remote work     Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.   Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine’s equal employment opportunities, you may contact us at legal@filevine.com

Location: San Francisco NOTE ON ELIGIBILITY: this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, visit pplx.ai/newgrads https://pplx.ai/newgrads). ABOUT THE ROLE In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index. This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school. WHAT YOU WILL DO - Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them. - Ship to production continuously. New engineers typically have code in front of users in their first week. - Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong. - Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives. - Raise the quality bar on reliability, latency, and craft for the surfaces you own. - Work directly with designers, PMs, and research engineers, without unnecessary process in between. WHAT WE LOOK FOR - 1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale. - Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data modeling. Comfortable working in React and TypeScript on the frontend. - Real evidence of building: production work you understand in depth, shipped side projects with actual users, meaningful open-source contributions, hackathon wins, or research you turned into working software. - Comfort with ambiguity and an instinct to start building incrementally rather than wait for a spec. - Hands-on experience with AI products, with opinions about their rough edges and what that means for the product you are building. NICE TO HAVE - Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS. You will not be expected to know all of it on day one. - Experience building on top of LLMs: AI orchestration, RAG, evals, agents, tool use. - Product taste. You can tell a good interface from a bad one and explain how to improve it. - A public track record we can read, such as GitHub, a technical blog, or a demo we can try.

Location: San Francisco NOTE ON ELIGIBILITY: this role is for industry candidates already working in software engineering for the past 1+ years. New grads and current students should NOT apply to this role (instead, visit pplx.ai/newgrads https://pplx.ai/newgrads). ABOUT THE ROLE In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, through Search, Comet, and Computer. Product Engineering owns those experiences end to end, from the interface a user touches to the search and model calls behind it, on top of roughly 200M queries a day and a 200B+ URL index. This is a full stack role in the truest sense. There are no frontend or backend lanes here, and no one waits for a ticket before starting. It suits people who love to build and want the room to do it. What you have shipped and how quickly you learn tell us far more than years on a resume or where you went to school. WHAT YOU WILL DO - Own a user-facing surface end to end, from the interaction, design, and frontend through the application logic, APIs, data models, and the search or model calls behind them. - Ship to production continuously. New engineers typically have code in front of users in their first week. - Build with AI as a primary tool, not a novelty. We expect you to use agents and coding models aggressively to move faster, and to have sound judgment about when their output is wrong. - Turn ambiguous product ideas into working prototypes, then use real usage data and evals to decide what survives. - Raise the quality bar on reliability, latency, and craft for the surfaces you own. - Work directly with designers, PMs, and research engineers, without unnecessary process in between. WHAT WE LOOK FOR - 1+ years of professional software engineering experience, or a track record of strong internships where you shipped production code at scale. - Strong in at least one backend language, such as Python or Go, with real experience across services, APIs, and relational data modeling. Comfortable working in React and TypeScript on the frontend. - Real evidence of building: production work you understand in depth, shipped side projects with actual users, meaningful open-source contributions, hackathon wins, or research you turned into working software. - Comfort with ambiguity and an instinct to start building incrementally rather than wait for a spec. - Hands-on experience with AI products, with opinions about their rough edges and what that means for the product you are building. NICE TO HAVE - Experience with our stack: React or Next.js, Python, Go, PostgreSQL, Redis, Docker, AWS. You will not be expected to know all of it on day one. - Experience building on top of LLMs: AI orchestration, RAG, evals, agents, tool use. - Product taste. You can tell a good interface from a bad one and explain how to improve it. - A public track record we can read, such as GitHub, a technical blog, or a demo we can try.

Location: Des Moines, Iowa, United States About the Role iCapital is looking to hire a Business Solutions Consultant to serve as a lead role in research and requirement analysis. This individual will complete the requirements that the Development team will use to develop or enhance the company’s product offerings and require little guidance. This role is involved throughout the software development life cycle starting with requirements gathering and continuing all the way through to the successful release of the software. Responsibilities Refine documentation for clarity and consistency by anticipating questions from development and testing teams and ensuring content is unambiguous and complete. Analyze customer requests to assess system impacts and engage customers in discussions regarding the benefits and tradeoffs of proposed updates. Expand industry knowledge of insurance products through continuous learning and research. Gather data from multiple sources, including customers, product guides, marketing materials, prospectuses, style guides, and mockups, to develop solutions to business challenges. Evaluate potential solutions and make informed tradeoff decisions. Implement standard and non-standard customer requirements within at least one platform. Identify and analyze problems while recommending effective solutions. Manage day-to-day issues and challenges independently with minimal oversight. Generate innovative ideas by evaluating client requirements and system functionality. Resolve less complex client issues directly and engage senior team members when appropriate. Elicit customer requirements through documentation reviews, workflow analysis, and walkthrough sessions. Assess customer needs and business situations independently and in collaboration with others. Develop clear, concise specifications with an appropriate level of detail. Qualifications 3+ years working experience in the financial services or insurance industry, either directly through sales and marketing support, illustration or through a vendor position 2+ years of experience in gathering and writing business and technical requirements in an SDLC environment for life or annuity products is required Knowledge of Life or Annuity products and insurance products is required Industry Certifications and/or licenses is preferred Understanding of Agile or Waterfall Software Development Life Cycle Benefits The base salary range for this role is $75,000 to $90,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.  This position can be based in the greater Des Moines, IA area, the greater Colorado Springs, CO area, or the greater Salt Lake City, UT, area. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.