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Location: Omaha, NE Travel Medical Assistant Location: Omaha, NE Schedule: Full-time (5 days per week) Salary Per annum: $35,000 - Based on an average of 38 patients seen per day worked; eligibility for a bonus for each additional patient seen beyond this number About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities. Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary Infinite Medical P.C. is seeking professional and compassionate full-time Travel Medical Assistants to facilitate consults within a nursing home facility on behalf of our medical team. You will be assisting providers in Nursing Homes with a tablet device. A strong candidate will have great interpersonal skills and the ability to create a supportive environment. Responsibilities Coordinating with the designated facility contact for each location Following a pre-established list from the office to ensure that all patients are seen and provided with appropriate care Performing additional duties as required to facilitate medical services and clinical monitoring Traveling to various facilities across different states as needed to support operations Requirements Certified Medical Assistant (CMA Board Certified ) Ability or experience working in a fast-paced environment Demonstrate the ability to maintain composure when confronted by difficult situations and to respond appropriately Flexibility to travel on short notice Currently resides in the state of Nebraska License to drive Prolonged standing/walking. Occasional lifting up to 20 lbs. Frequent travel. Lifting/moving patients. Benefits Competitive salary Per annum: $35,000 - Based on an average of 38 patients seen per day worked; eligibility for a bonus for each additional patient seen beyond this number Health Dental Vision 401K Company-Sponsored Life Insurance Paid Time Off Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most. #INDL

Location: Porto, Portugal Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities We are looking for a Team Manager (all genders) to lead the engineering teams building and running the backend services that power TeamViewer products. This is a leader-of-leaders role : you will manage and develop a group of Team Leads, growing their leadership capability so they can run high-performing teams on their own. Alongside this, you will shape the technical and organizational direction of these services, and ensure they remain secure, reliable and scalable as our products and customer base grow. You will work closely with Product Management, Architecture, Security and other R&D leaders in an agile, modern environment. Lead, coach and develop a group of Team Leads , helping them grow as people managers and technical leaders, while supporting engineers directly where needed. Build a strong leadership bench: set clear expectations for Team Leads, run regular 1:1s and feedback cycles, and identify and grow future leaders within the teams. Create alignment across your Team Leads so that multiple agile teams work toward shared goals with consistent practices. Own the delivery and long-term evolution of the backend services that power our products, balancing new capabilities with stability, security and technical debt. Drive roadmap execution with Product Management and other stakeholders, translating business needs into clear team priorities. Ensure our backend meets high standards for availability, performance, security and compliance. Collaborate with product and engineering teams across the company on integration, shared standards and scalable solutions. Oversee capacity planning, resource allocation and hiring to support growth and delivery. Promote engineering excellence and agile best practices across development, testing, deployment and operations. Support the professional development of your team through coaching, feedback and career planning. Act as a key link between engineering and senior management, translating technical progress and risk into business-relevant updates. Champion a culture of open communication, psychological safety, ownership and accountability. Requirements A university or college degree in Computer Science, Information Technology, or a related field. 8+ years of experience in software engineering, with a solid understanding of modern development practices. 4+ years in a managerial role within software development, ideally in an agile environment. 1+ years of experience leading leaders (Team Leads or Engineering Managers), including coaching them, managing their performance and growing them into stronger leaders. Proven track record of leading multiple teams building and operating backend services in production through a layer of Team Leads. Strong understanding of distributed systems, software architecture, scalability, and the full development and operations lifecycle. Experience with services that have high requirements for security, reliability and backward compatibility is a strong plus. Experience in strategic planning, team building and performance management, including hiring and onboarding Team Leads. Excellent communication and leadership skills, with the ability to influence and inspire across teams and stakeholders. Fluent in English (spoken and written); Portuguese or German is a plus. What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus or sales bonus and regular salary reviews Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. The RL Scaling team works on how RL scales: what happens to throughput, stability, and learning efficiency as models get larger, episodes get longer, and compute grows by orders of magnitude, and what has to change in our algorithms and systems to keep getting returns from that scale. This role sits squarely across research and engineering. You'll develop next-generation architectures and RL algorithms, take them from a small-scale result to a frontier-scale run, and understand every place they behave differently along the way. You'll build the systems that set how fast the team can iterate: how many experiments, at what scale, and how quickly we can trust the results. And you'll work on Anthropic's largest and fastest RL runs, where the gap between a good idea and a working one is often a problem no one has solved yet. Key responsibilities Study how RL training and sampling scale with model size, context length, and compute, and find the algorithmic and systems changes that keep scaling efficient Develop next-generation model architectures and RL algorithms, and make them run efficiently at frontier scale Take promising small-scale results to frontier-scale runs, and diagnose why they behave differently when they get there, whether the cause is numerical, algorithmic, or systemic Build the experimental infrastructure that sets research velocity: fast, reproducible comparisons of architecture and algorithm variants at meaningful scale Own end-to-end performance of our largest RL runs, from research code down to the hardware Build performance and cost models for proposed architecture and algorithm changes, and use them to decide which ideas get scaled Investigate training dynamics at scale, including instabilities, divergence, and throughput regressions, and trace them to root cause Minimum qualifications Deep familiarity with modern transformer language models, including their architecture, training dynamics, and the behavior of large-scale optimization Hands-on experience training large models in a distributed setting, including the tradeoffs between data, tensor, and pipeline parallelism A track record of original technical work in ML training or systems, such as new methods, architectures, or optimizations, demonstrated through research, open-source, or production impact Ability to design rigorous experiments at scale, including baselines, ablations, and enough statistical care to trust a result that costs real compute Ability to reason quantitatively about the compute, memory, and communication costs of a model or algorithm Strong programming skills in Python and JAX or PyTorch, and comfort reading and changing code at every layer of the stack Preferred qualifications Research experience in reinforcement learning, optimization, or large-scale training, published or otherwise Experience developing RL algorithms for language models Experience with scaling laws or other quantitative models of training efficiency Experience designing or modifying transformer architectures beyond standard configurations Experience scaling training to large fleets of accelerators and debugging the problems that only appear at scale Deep understanding of numerics in large-scale training, including low-precision formats and sources of instability Familiarity with how GPU or TPU performance characteristics shape architecture and algorithm choices Experience with C++ or Rust Representative projects Characterize how a new RL algorithm's throughput and learning efficiency change from small models to frontier scale, and fix what breaks Develop a new attention variant, get it working at full scale, and measure how its quality and throughput compare to the baseline Prepare our next largest-ever RL run: find what breaks when model size, context length, and compute all grow at once, and fix it before launch Trace a loss instability that only appears past a certain scale to its root cause, and work out whether the fix belongs in the algorithm, the numerics, or the system Build a model that predicts the throughput and cost of a proposed architecture change before anyone writes the kernel 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: $500,000 — $850,000 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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is an unusually demanding distributed system. Training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts, exchange data continuously, and have to keep making progress while hardware fails, load shifts, and the research changes underneath them. How well that system holds together determines how much of our compute turns into learning, and how quickly the team can try the next idea. As a Research Engineer on the Distributed Systems team within RL Engineering, you'll work on whatever part of that system is the current limit. That might be scheduling and placement, data movement between components, running large numbers of sandboxed environments, storage and checkpointing, networking, fault tolerance, autoscaling, or the observability that tells us what a run is actually doing. We're looking for generalists: engineers who can move between these layers, reason from first principles about a system they haven't seen before, and pick the problem that matters most rather than the one closest to their prior experience. Our system changes as fast as the research does, correctness under failure matters as much as throughput, and the best solutions often come from understanding the ML workload well enough to know which guarantees it actually needs. Strong candidates have built and run large distributed systems, care about getting the details right, and want to apply that experience to a workload that is very large, very heterogeneous, and changing quickly. Key responsibilities Design, build, and operate the distributed systems that run RL at scale, across training, sampling, and environment execution Find and remove whatever currently limits the system, whether it's scheduling, data movement, storage, networking, or coordination Build fault tolerance into every layer: failure detection, isolation, and recovery that keep long-running jobs making progress without human intervention Design resource management and autoscaling so that compute follows demand as a run's needs shift Build observability that makes it possible to understand what a run is doing and why it slowed down, stalled, or produced unexpected results Build automation that detects and remediates common problems, and design interfaces that let engineers and automated tools operate runs safely Work with researchers and performance engineers to make sure systems changes preserve training correctness and don't introduce subtle nondeterminism Remove classes of failure at their source through incident review, testing, and redesign, and write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems in production Deep understanding of distributed systems fundamentals, including consistency, coordination, consensus, failure modes, and recovery Ability to reason quantitatively about throughput, latency, and resource costs across compute, memory, storage, and network Experience debugging complex failures across many hosts and services, including failures you can't reproduce locally Strong written communication, including design documents and incident writeups Preferred qualifications Experience running ML training or inference infrastructure at scale Experience across several layers of the stack, such as scheduling, storage, networking, and orchestration Experience building schedulers, autoscalers, or resource management systems Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience with high-performance networking, RDMA, or collective communication libraries Experience building observability or automated remediation for large fleets Experience with async Python frameworks such as Trio or asyncio Familiarity with reinforcement learning or large language model training workloads Representative projects Design a scheduler that places training, sampling, and environment work across a heterogeneous cluster while respecting network topology and failure domains Build a failure detection and recovery system that lets a long-running job survive host and network failures with minimal lost work Scale environment execution substantially without increasing tail latency for the training step Design an autoscaling policy that rebalances compute across components as a run's bottleneck shifts Build a diagnostics system that explains why a run's throughput dropped and proposes a fix Trace a rare data corruption bug across many services to a race condition in a recovery path, and redesign the path so the class of bug can't recur Design the operational interface for a run so that automated tools can safely diagnose and adjust it under human oversight 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: $500,000 — $850,000 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: Boston, MA, United States, New York, NY, United States Title of role: Manager Business Analytics Location: New York or Boston; Hybrid (2 days in the office required) Approved Salary Range: $130K-$140K About the Role : Rue Gilt Groupe is seeking an innovative and business-minded Manager, Business Analytics to lead the analytical strategy across key customer engagement channels. In this role, you will be the dedicated analytics owner for our Paid Retargeting and Winback marketing programs, transforming complex datasets into executive-ready strategic insights that drive measurable revenue growth. You will sit at the intersection of marketing strategy, technology, and data science—collaborating closely across the broader Marketing team, technology partners, and external vendors. If you thrive on upleveling complex analyses, understanding core commercial drivers, and leveraging modern tools with AI, this opportunity is ideal for you. Key Responsibilities: Program Analytics Ownership: Serve as the lead analytics owner for both the Paid Retargeting and Winback marketing programs, defining measurement strategy, incrementality testing, and performance optimization. Uplevel Complex Analyses: Synthesize multi-channel datasets into clear, actionable stories, executive dashboards, and strategic recommendations that directly influence marketing investments. Understand Business Context & Drive Innovation: Connect data directly to underlying business models, identifying growth opportunities and pioneering new approaches to customer lifecycle optimization. Cross-Functional Collaboration: Partner effectively across internal teams, including Marketing, Data Engineering, and Tech, as well as external platform vendors to improve attribution, data architecture, and campaign effectiveness. Embrace AI & Modern Workflows: Bring a strong AI curiosity to test and integrate novel AI tools, automated analytical workflows, and generative techniques into daily reporting and exploratory research. Experience and Background Needed : Strategic Thinking: Proven ability to translate complex statistical outputs into high-level business narratives for non-technical leadership. Forward-Looking Mindset: Active curiosity around emerging AI tools and automation capabilities to enhance analytical speed and insight discovery. Collaborative Attitude: Strong communication skills with a track record of building cross-departmental alignment and managing external partner relations. BA/BS in a quantitative field (Marketing, Economics, Mathematics, etc.). 4+ years of experience in business analytics, marketing analytics, or data-driven strategy (preferably within e-commerce, digital retail, or direct-to-consumer environments). AdTech/Digital Paid Media background a plus. Strong statistical foundation, including hands-on experience with A/B testing , attribution methods, and MMM/MTA modeling . Advanced SQL skills for querying, data manipulation, and building robust analytical models. Deep experience with Tableau (or equivalent BI tools such as Looker or Power BI) for designing interactive visualizations and executive reports. Expert-level proficiency in Excel or Google Sheets What our team offers Working at RGG is more than just a job; it’s an opportunity to join a mission-driven team that values Innovation and Impact. We are committed to supporting our employees' success and well-being: Comprehensive Coverage: Robust health, dental, and vision insurance effective on the date of hire. Time & Flexibility: Generous Flex Time Off (FTO) and flexible remote/hybrid work options that support a healthy work-life balance. Culture: A supportive, inclusive culture that encourages innovation, safety, and creative risk-taking. Community: Paid volunteer opportunities and regular DEI celebrations to foster a strong sense of community and collaboration. Impact: The chance to make a real, measurable impact at a mission-driven, fast-growing company poised for major expansion. We encourage you to apply Even if you don’t meet every single qualification, we’d still love to hear from you. We value passion, curiosity, and a commitment to learning as much as experience.  We celebrate diverse perspectives and strive to create an inclusive environment for all our Associates. Work Authorization Rue Gilt Groupe requires all applicants to be currently authorized to work in the United States on a full-time basis. This position is not eligible for visa sponsorship now or in the future . Rue Gilt Groupe is an Equal Opportunity Employer and will consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status. Rue Gilt Groupe is committed to providing Associates with equal pay for equal work and carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, certification(s), license(s), skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Our goal is to support, reward and compensate the entire individual. Depending on role eligibility, your offer may also include bonus/commission, stock options, paid time off, medical, dental, vision and basic life insurance. Therefore, final offer amounts may vary from the amount stated. The above statements are intended to describe the general nature and level of work being performed by the employee(s) assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of the employee(s) assigned to this job. Rue Gilt Groupe reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions or assign additional job responsibilities within your general skill set or capabilities. Rue Gilt Groupe is proud to be an Equal Opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. ABOUT US: Ready for the most memorable – and stylish – experience of your professional career? Then join us at Rue Gilt Groupe. Combining three complementary brands, Rue La La, Gilt, and Shop Simon, we are the premier off-price e-commerce portfolio company. Our model defined the online treasure hunt through its daily sale events allowing our customers to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. We believe in fashion for all, sparking delight through daily discovery and shopping as an occasion to celebrate!  World-class merchandising, technology and marketing bring our shopping experience to life, and we hire world-class people to do it.  Living our values and being empowered, tenacious, passionate, collaborative, innovative, and kind is something we strive for every single day. We meet over coffee and brainstorm new ways to spark delight for our members. Volunteer on- and off-hours together. Plan some serious surprises for our coworkers, because nothing ignites innovation like a breakfast cereal buffet or an afternoon slice of cake. And we don't hesitate to use our associate discount – after all, we're as enthusiastic about style as our customers. The way we work?  It's so much more than what happens between the weekends. It empowers us to think, create, and innovate, so we can deliver the first-rate experience today's customer’s demand. Rue Gilt Groupe GDPR/CCPA Pre-Collection Notice for Job Applications: We collect personal information (PI) from you in connection with your application for employment with Rue Gilt Groupe, including identifiers, contact information, employment and education history, and related information. We use this PI for purposes related to evaluating your application and potential employment. Depending on your location, you may have rights under GDPR or U.S. state privacy laws. For additional details or if you have questions, please see our GDPR Applicant Privacy Notice and CCPA Applicant Privacy Notice or contact us at recruitingcoordinator@ruegiltgroupe.com.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Role We're looking for an AI Inference Platform Engineer to build, operate , and optimize the systems that serve large language , vision, multimodal, and embedding models across DRW. This role provides DRW's firmwide interface to modern AI models, from early evaluation through reliable production use . You'll work across inference runtimes, distributed systems, and production platform engineering, with deep GPU literacy.  You'll own the serving platform end-to-end: onboarding newly released models, measuring quality and performance equivalence across serving configurations, scheduling workloads across tenants, and continuously improving latency, throughput, utilization, reliability, and cost across the inference fleet. What You'll Do Optimize LLM inference performance across modern NVIDIA GPU architectures and inference runtimes. Build end-to-end performance profiling and observability to identify bottlenecks from individual GPU kernels through multi-node inference systems. Design and optimize KV cache and distributed inference architectures, including caching, routing, memory tiering, and prefill/decode strategies. Own day-0 model onboarding, determining the appropriate runtime, precision, sharding, memory, batching, cache policy, and serving configuration for new models. Maintain validated performance profiles for important model and hardware combinations, including performance and quality regression testing. Measure and monitor quality equivalence across serving configurations, including KV cache quantization, speculative decoding acceptance thresholds, precision choices, and model routing, so in-house serving can be trusted to match reference-model quality on production workloads. Manage the production serving lifecycle of models, including versioning, compatibility, staging, canarying, promotion, rollback, and retirement. Partner with SRE and platform teams to automate model deployment, distribution, production readiness, observability, and reliable operation across environments. Optimize model placement, scaling, and resource allocation across the inference fleet to improve utilization and cost efficiency while meeting performance and reliability requirements. Design and operate multi-tenant scheduling and isolation across shared GPU capacity, balancing latency SLOs, throughput, and priority across concurrent workloads. What We're Looking For The Tech Hands-on experience serving LLMs on NVIDIA GPUs, with familiarity across current and emerging architectures (Hopper, Blackwell, and successors), HBM, Tensor Cores, NVLink / NVSwitch , and the compute and memory bottlenecks that shape serving decisions . Deep expertise in at least one modern inference runtime such as TensorRT-LLM, vLLM, or SGLang. Practical knowledge of inference optimization techniques including continuous batching, scheduling, chunked prefill, speculative decoding, quantization, CUDA Graphs, and paged attention. Understanding of KV cache architecture, including prefix caching, block management, sizing, eviction, quantization, cache-aware routing, and multi-tier caching. Experience measuring model quality equivalence across serving configurations, including evaluation harnesses, task-specific benchmarks, and regression detection for quantization, KV cache, and speculative decoding changes. Experience designing and tuning distributed inference systems, including tensor parallelism, multi-node deployments, and disaggregated prefill and decode. Experience with multi-tenant GPU scheduling, workload isolation, and QoS across concurrent inference workloads. Proficiency with GPU performance and observability tooling such as Nsight, DCGM, OpenTelemetry, Prometheus, and Grafana. Strong Linux and systems performance fundamentals, with the ability to diagnose bottlenecks across hardware, drivers, runtimes, networking, and application layers. Production experience with model serving infrastructure, including CI/CD, automated testing, observability, and production readiness. The Intangibles You take a measurement-driven approach to performance optimization. You take ownership of performance problems across hardware, runtime, model, and infrastructure boundaries. You can move quickly and reprioritize as trading needs change, while maintaining a high bar for production systems. You understand the importance of reliability, predictability, and performance when AI systems are integrated into trading workflows and decision-making processes. You can evaluate unfamiliar models, runtimes, and hardware quickly and make sound engineering decisions with limited prior guidance. You communicate clearly and can explain complex performance tradeoffs across engineering teams. The annual base salary range for this position is $200,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-VD1]

Location: Remote-Friendly (Travel Required) | 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 Data Center Security Engineering (DCSE) secures Anthropic's data center footprint; this role covers how the sites are designed and built to be secure. Much of that footprint is designed and built with partners, so a site's security is decided early: in what Anthropic hands the people who build it, and in how rigorously the delivered systems are tested against it. You'll design and specify the physical security systems for a site: perimeter and vehicle barriers, intrusion detection, video, security lighting, and the site penetrations and utility entry points that bypass them. Design firms and integrators produce the site drawings and install; you specify, review, and verify. You'll write the performance requirement and verification method behind each control, review every site design against them at each stage with redlines a design team can act on, test in the field that what was built performs as specified, and re-verify post-acceptance changes. This is a foundational role. You'll own Anthropic's physical security reference design package (typical details, reference drawings, schedules, and test procedures) in the form partners build from, and keep it current against each site's threat basis and the sites actually being built. You'll set the technical position for a site and decide what applies where; where a requirement can't be met as written, you'll engineer the compensating control and document the deviation. You'll work with the rest of DCSE, with Anthropic's design, construction, and real estate counterparts, and directly with the vendors who build to the package. We use Claude throughout our engineering workflow and expect you to as well. The same seat covers the team's security operations control rooms. You'll set their design and operational requirements and accept delivered systems against them, working day to day alongside the team's platform engineers, who own the software and compute that run in them. This role involves regular travel to data center sites. These are critical services, and this role participates in an on-call rotation for them. Key responsibilities Produce a vendor-ready design package for perimeter barriers and hostile vehicle mitigation, intrusion detection and its zoning, video coverage, security lighting matched to camera performance, and penetration protection: performance specifications, typical details and reference drawings, and device and zone schedules, written so a design firm can build to them and a test can prove them Define the per-site engineering basis: which requirements apply to a site based on its risk profile and the threats it faces, with compensating controls and documented deviations Write the acceptance criteria and test methods: the verification method behind each requirement and the evidence a site must produce to pass acceptance Set standoff, structural hardening, and site layout criteria for new designs, tied to the threat basis they derive from Run field verification: commissioning and acceptance testing of perimeter, detection, video, and lighting against performance criteria (detection coverage tests, photometric measurements, video quality checks) Write the operational and design requirements for security operations control rooms: console layout, wall versus workstation content, supervisor placement; room network, power, backup, and resilient communications to the team's segmentation and hardening baseline Own control room acceptance: factory and site acceptance criteria written before the build, then accept or reject delivered systems (video wall, consoles, cabling, fit-out) against them Minimum qualifications Have designed or specified physical security systems (perimeter barriers, intrusion detection, video, security lighting) for campus-scale sites: multiple buildings, a secured perimeter, many detection zones Read and produce construction documents (site plans, civil and electrical drawings, device schedules, submittals) using standard design and markup tools such as AutoCAD, Revit, or Bluebeam, and find what is missing as readily as what is wrong Write performance requirements that are testable: each states what must be true, how it will be verified, and what evidence shows it Have run commissioning and acceptance tests against performance criteria and rejected work that did not meet them Derive requirements from a threat basis rather than a product catalog: you can say which adversary a control stops and where the next weakest point is Have owned an engineering domain where you set the approach, chose what applied to each site, worked directly with vendors, and answered for the result Preferred qualifications Experience carrying a physical security design from construction documents through construction to acceptance testing Experience engineering the security scope of colocation or partner-delivered facilities Working knowledge of published standards for standoff, hostile vehicle mitigation, and intrusion detection zoning Photometric and video quality measurement experience Control room, AV, or network design experience: console layouts, video wall systems, resilient communications Experience using AI-assisted tooling for drafting and review as a core part of your workflow 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 — $405,000 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: Australia, Adelaide Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Site Reliability Engineer Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers.  We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels. We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring the operational readiness and stability. Requirements Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role. Strong interpersonal, written and verbal communication skills. Available to be scheduled in on-call rotation. Skills & Knowledge Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure. Development experience in one or more of the following programming languages: Python (preferred) Bash, Go, Java, C++, or Rust In addition, experience with at least 3 of the following topics: Distributed data storage at scale (Hadoop, Ceph) NoSQL at scale (MongoDB, Redis, Cassandra) Data Aggregation technologies. (ElasticSearch, Kafka) Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability Monitoring & Alerting (Prometheus, Grafana), and Incident Management toolsets Kubernetes and/or AWS (deployment and management) Software Distribution (Package management and distribution at scale) Configuration Management (ansible, saltstack, puppet, chef) S/W Performance analysis and load testing (QA or SDET experience: a plus) Responsibilities Lead team technical discussions, especially around ongoing improvements in Reliability and Scalability Be involved in creating High Level Designs (HLDs) for new products and platforms Mentor junior SRE staff and enable them for success Lead incident response and post-mortem activities within your assigned service team Work with other Engineers in a cross-functional team to prioritise reliability improvements to address technical debt and toil Contribute to code to improve reliability Implement automation to reduce ongoing toil Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Athens The Wow As a Tech Lead at Betsson Group, your primary responsibilities will be geared towards driving technical excellence in our products. You will serve as a bridge between the domain architect(s) and engineering teams, facilitating technical design, decisions and delivery. Being a technical expert, you will actively support our managers in building world class engineering teams. This is a hands-on role, where you will have frequent opportunities to research new technologies, lead technical investigations and develop POCs for new ideas, and will actively participate in key technical initiatives A taster of what you will be involved with: Your main goal is ultimately to drive technical excellence in the domain - in particular towards improving stability, performance, code quality, and development efficiency. To this end, you will be expected to: Identify and champion technical improvements for consideration in the roadmap, ensuring the benefits are clear and understood. Work closely with architects to ensure that the architectural direction and standards are being communicated, aligned & implemented within the teams. Develop and maintain a strong understanding of our business and products. Take the lead on technical design decisions, whilst ensuring alignment with the domain architect(s). Take an active, hands-on role with important technical initiatives and issues. Support new product development by producing POCs and/or documented technical designs. Research new technologies and assessing their potential application. Review major changes to ensure they are up to standard. Serve as a key technical point of contact for the domain, collaborating with product, architecture and engineering colleagues across the organisation. Help build our world class teams, thus participating in technical interviews and providing technical feedback on people, as well as coaching & mentoring engineers. Participate in team ceremonies such as planning, refinement, etc... to keep up to date on ongoing works and upcoming plans. Lead technical trainings to share knowledge and improve technical expertise within the teams. What we are looking for A strong technical background in software engineering for web applications. Highly knowledgeable and experienced with TypeScript / JavaScript and Web Markup (CSS3/HTML5). A deep understanding of Observable technologies (preference for RxJS / Signals). Highly knowledgeable and experienced with modern agile software development practices, GIT based projects, and CI/CD. Knowledge about web component frameworks (ex. StencilJS) Highly experienced and comfortable working with large scale applications, including: SDK & FE components architecture, modularisation, efficient application bundling, unit testing, and integrating with backend APIs. Expertise in delivering highly performant web solutions on an international scale, with preference given to implementing SSR mechanisms and optimising content delivery with CDNs, caching, and other solutions surrounding front-end applications. Possess demonstrated working experience in defining and documenting technical solutions around front-end architecture and its integration with backend services. Ability to efficiently review PRs and provide constructive feedback. Experienced and passionate about coaching and mentoring people, preferably having done so in a similar role. Communicates clearly and confidently with the engineering team, whether running training or knowledge transfer sessions, walking through requirements, or presenting technical designs Communicates effectively upwards with Architects and the Head of Engineering, presenting technical proposals, trade offs and risks with clarity and sound reasoning Is approachable and open, someone the team feels comfortable going to for guidance or support. A strong team player who builds trust, shares knowledge willingly and contributes to a collaborative team culture Great if you have Prior experience working with custom UI design system frameworks. A good understanding of front-end data tracking through Google Analytics / Google Tag Manager. A good understanding of AI Tooling and AIDLC practices. Helps driving AI Tooling adoption within the team in a responsible manner, building confidence and good habits. Applying sound judgement to AI generated output, ensuring code quality and security is never compromised. Working experience with geographically distributed teams. What we offer Monthly Allowance for Lunch Private & Life Plan Insurance for you and your family Team Building Budget Annual Wellness Allowance Corporate Travel Insurance Events and initiatives both Local (Quarterly Meetings) and Global Professional Development Programs & Internal Career Opportunities Milestone Birthday Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1900 strong, spread across 7 offices! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and always striving to push the boundaries and challenge yourself, then you’ll fit right in. We offer numerous challenges where your skills will be put to good use! We encourage innovation, independence and celebrate success where you will be part of multi-cultural and diverse company, with people from all over the world. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Tumwater, WA Strengthening the West Coast’s power grid isn’t for the weak. Keeping electricity flowing and the lights on might not be a 9-to-5 desk job, but it is a chance to do meaningful work. Michels Pacific Energy, Inc. is a sought-after energy contractor. We do what is needed – from building and maintaining transmission lines and distribution networks both above and below ground to repair damage caused by natural disasters. Our work improves lives. Find out how a career at Michels Pacific Energy, Inc. can change yours. As a Project Manager, your key responsibilities will be to manage all phases of large complex projects or manage multiple large sized projects. A Project Manager will also manage, mentor and guide direct reports. This position is accountable for all aspects of a project’s success from the initial proposal/bidding process, to meet or exceed the clients’ expectations, to the profitable completion of the jobs, with a special emphasis on safety performance. It is essential to be reliable, self-motivated, goal oriented, organized and professional. Critical for success are excellent verbal and written communication skills, and the abilities to work well in teams and quickly make decisions. Essential Duties and Responsibilities: Maintain and promote a strong safety culture for all employees, vendors, and customers and follow all health, safety policies, procedures and regulations. Identify and communicate workplace hazards and correct or seek assistance in correcting unsafe actions or conditions. Directly supervise Associate Project Managers and Project Managers; carry out supervisory responsibilities in accordance with the organization’s policies and applicable laws. Responsibilities include interviewing and training employees; planning, assigning, and directing work; providing feedback; addressing complaints and resolving problems. Under minimal supervision and provide guidance to assigned project staff, review project proposal or plan to fully understand the scope of the work and contract to determine time frame, funding limitations, procedures for accomplishing project, staffing requirements, and allotment of available resources to various phases of the project. Proactively build and sustain relationships with clients and general/sub-contractors, both while on the job and through networking outside of work. Ensure we are proactively communicating with the client at all times. Confer with project staff to outline work plan and to assign duties and responsibilities. Hold productive meetings and present information to both small and large groups and resolve problems or escalate as appropriate. Responsible for contract management: initial conversations through final project close-out. Additionally, once awarded/executed, serve as the point of contact for customers (internal and external) on contractual matters, ensuring timely review and reconciliation/approval of variations. Why Michels Pacific Energy, Inc.? We are committed to hiring the best people and giving them the best equipment We are dedicated to improving the West Coast’s energy infrastructure Our steady, strategic growth revolves around a commitment to quality We are family owned and operated We invest an average of $5,000 per employee on training each year We believe everyone is responsible for promoting safety, regardless of job title We are a part of the Michels family of companies – one of North America’s largest, most diversified energy and infrastructure contractors We offer a comprehensive benefits program, including Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long-Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan. Depending on your position and location you may participate in a different benefit plan. Why you? You like to surround yourself with dedicated, value-driven people You are up to new challenges and opportunities You cringe when you hear: “Because that’s the way we’ve always done it.” You like to know your efforts are noticed and appreciated You believe that individual commitment to a group effort is key to success You want your work to make a difference in people’s lives What it takes? Bachelor’s degree in Project Management, Construction Management, Engineering, or related field, 5+ years of related experience, or equivalent combination Experience with transmission and distribution projects Experience with EPC projects Experience with Project Management software (Primavera, Project, etc.) Proficient in Microsoft Office Suite PMP, PE certifications is desired Must possess a valid driver license for the type(s) of vehicles with may be driven and an acceptable driving record Ability to travel This information reflects the anticipated base salary for this position based on current market data. Minimums and maximums may vary based on location. Actual pay will be adjusted based on individual’s skills, experiences, education, and other job-related factors permitted by law. Expected Salary Range $155,000 — $180,000 USD AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Zagreb, Croatia Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. Role OverviewAs Client Partner for Pinterest, you will grow Aleph's business in Croatia by expanding the accounts we already work with. You will own a book of business, plan spend with each client, and spot where a client could scale further or move into another platform. This is a revenue-focused, client-facing role. You will work with Croatia's largest domestic, export and import advertisers and with the agencies that manage their media, and you will represent our platforms exclusively in themarket. About AlephAleph is a global leader in digital advertising and fintech, operating across 130+ high-growth markets. We connect 55+ of the world's leading digital platforms with local businesses, combining global scale with deep local execution. With 90+ offices worldwide, we equip our sales teams to grow through exclusive partnerships and local expertise. What You Will Do: Grow the existing book of business Build account plans and revenue forecasts based on each client's current spend and scaling plans Identify upsell and cross-sell opportunities, including clients not yet spending on an adjacent platform Manage your pipeline and keep accurate CRM records of all sales activity Forecast revenue weekly, monthly and annually, and deliver against your targets Lead client and agency relationships Meet regularly with clients and agencies to understand campaign objectives, KPIs and marketing plans Recommend the right solutions from our product portfolio to help clients reach their goals Lead onboarding for new clients, including legal and compliance requirements Give clients timely, practical feedback to improve performance and strengthen the relationship Shape new business and work across teams Set the direction for new-business opportunities in Croatia, based on market trends and competitor activity. Our business development team handles outreach and prospecting. Work closely with Client Solutions Managers to ensure smooth campaign launches and execution Build your network across key verticals through industry events and market engagement What We're Looking For 3-7 years of experience in digital advertising, media sales, account management, or a related digital marketing or ad-tech sales role Experience with account planning and revenue forecasting Experience with upsell, cross-sell and pipeline management across more than one product or platform Strong communication skills, as you will be the main point of contact for clients Fluency in Croatian and English Nice to have Experience using AI tools in your day-to-day work Working knowledge of Excel for analysis and reporting Experience with Salesforce or another CRM (this can be learned on the job) Existing relationships with Croatian media agencies or advertisers We welcome candidates from agencies, media companies and client-side teams. An advertising background helps but isn't required if you understand campaign management and the digital advertising space. Why Aleph Access to the whole market: work with the biggest advertisers in Croatia and the full agency community New platforms: represent our platforms exclusively and learn how Pinterest works for advertisers Room to grow: move across teams, take on new responsibilities and build new skills within Aleph Global exposure: work with colleagues and clients across multiple countries Flexible working: a balance of focused work and collaboration Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

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 We are seeking an experienced public opinion researcher to build and expand Anthropic's in-house polling and research function. This role will be fundamental to understanding how key audiences — from policymakers and third-party groups to the general public — perceive and respond to Anthropic's policy positions, messages, and campaigns. This is a foundational role: you'll establish the research function from the ground up, with high autonomy and limited precedent. The Central Policy team sits at the operational heart of Anthropic's policy function — distinct from government relations and communications, but essential to enabling both. You'll work cross-functionally to ensure our policy and communications strategy is grounded in a rigorous understanding of stakeholder sentiment. The polling insights you generate will directly feed into high-visibility campaigns and will be a key asset in our policy efforts in Washington and beyond. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about the safe development of AI systems and build partnerships with governments through proactive, opinionated, substantive policy conversations. This role offers a unique opportunity to be at the forefront of AI policy, bringing rigorous research discipline to policy strategy. Success in this role means establishing trusted relationships with leading polling firms around the world, delivering high-quality research on a regular cadence, and becoming the internal expert on how key audiences perceive AI, Anthropic, and Anthropic's positions and messages. You'll translate polling insights into strategic recommendations that measurably improve campaign effectiveness, and build scalable processes that allow the function to grow efficiently as demand increases. Key responsibilities Develop a comprehensive strategy for our in-house political research function that aligns with Anthropic's policy goals Identify, evaluate, and establish relationships with leading research and polling firms, ensuring coverage across demographics, geographies, and political perspectives Conduct detailed, proactive research to test core messages, policy proposals, and campaign themes, and to evaluate Anthropic's brand perception and performance Execute rapid-response polling to quickly assess Anthropic's messaging strategy in response to external events, policymaker actions, competitive developments, or emerging opportunities Work with external affairs colleagues (federal, state, and international) and policy communications to identify research priorities, interpret findings, and translate insights into actionable strategic recommendations Develop and maintain a knowledge management system for polling data, insights, and recommendations that ensures findings are accessible and actionable Manage polling vendors at scale, including vendor performance management Participate in strategy sessions and provide thought partnership on the design of messages, policy proposals, and campaigns ahead of polling and testing Create clear, compelling deliverables that distill polling findings into insights and recommendations Identify opportunities to build and scale the polling function over time, including staffing needs, process improvements, and capability expansion Track and report on the impact and utility of research, measuring how insights translate into more effective campaigns and strategic decisions Minimum qualifications Experience designing and executing public opinion research, including survey and questionnaire design, sampling approaches, and message testing Ability to analyze quantitative and qualitative polling data and translate findings into clear, decision-ready written recommendations Experience selecting, briefing, and managing external polling or research vendors Strong writing and presentation skills, including distilling complex research for senior, non-technical audiences Preferred qualifications 8+ years of professional experience in political or public opinion research, ideally spanning multiple campaign cycles and policy environments Corporate public affairs experience, ideally in a highly scrutinized or regulated industry Strategic thinking that spots emergent issues, identifies and tests the right messages, and translates those insights into tactical recommendations A track record of building relationships with vendors, external experts, and complex stakeholder ecosystems Strong organizational skills, with the ability to manage multiple projects simultaneously, maintain clear priorities, and deliver on tight timelines Comfort operating in ambiguous environments, taking ownership of problems, and proactively driving initiatives with limited precedent A resourceful, collaborative working style and genuine commitment to being a strong teammate Passion for AI policy and alignment with Anthropic's safety mission and commitment to responsible AI development 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: $230,000 — $265,000 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: 134 E Washington St, New Castle PA 16101 Come join our team! There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest-growing firms in the insurance industry Fueled and driven by capable, committed people who share common beliefs and values and “bring it” every day, EPIC is always looking for people who have “the right stuff” – people who know what they want and aren’t afraid to make it happen. Headquartered in San Francisco and founded in 2007, our company has over 3,000 employees nationwide With locations spread out across the US, our local market knowledge and industry expertise helps support our clients' regional and global needs We have grown very quickly since our founding, and we continue to see growth and success thanks to our hard-working and growth-minded employees. Our core values are: Owner mindset, Inspire trust, Think big, and Drive results If these values and growth align with what you're looking for in your next career? Then consider joining our amazing team! Our division of EPIC, Treloar & Heisel, is a nationally recognized brand dedicated to serving dental and medical professionals. We specialize in helping clients secure their financial future through tailored insurance solutions and expert guidance. LOCATION: New Castle, PA (On-site) Greater New Castle region, including nearby communities in PA and OH ZIP Codes : 15009, 15010, 16112, 44512, 44403, 16001, 44406, 16066, 16116, 16117, 16127, 16148, 44425, 16137, 16101 WHAT YOU'LL DO Receive communication from insurance companies regarding our clients’ policies and respond accordingly Provide courtesy notifications to clients whose premium payments are late Assist clients with servicing of existing policies, including: Beneficiary and ownership changes Bank changes Premium mode changes Duplicate policy requests Agent of Record changes Coverage reductions Over-age policy conversion Lapse and reinstatement Cancellation Death claims Update database to reflect policy changes and changes to client contact information Communicate with clients’ financial institutions and insurance companies to process collateral assignments of life insurance policies Process policy suspension due to military deployment and reinstatement from suspension Provide high-quality customer service to established clientele WHAT YOU’LL BRING: High School Diploma or equivalent required Preferred Skills High-level customer service skills Superior attention to detail Ability to multitask and balance demanding workload in a fast-paced environment Strong Microsoft Office skills, especially Outlook and Word COMPENSATION: Compensation will be determined based on factors such as experience, skills, training, certifications, education, internal equity, and market data. This role may also be eligible for bonuses and a comprehensive benefits package. Actual compensation will be determined based on factors such as experience, skills, training, certifications, education, internal equity, and market data . WHY EPIC: EPIC has over 60 offices and 3,000 employees nationwide – and we’re growing! It’s a great time to join the team and be a part of this growth. We offer: Generous Paid Time off Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave Generous employee referral bonus program of $1,500 per hired referral Employee recognition programs for demonstrating EPIC’s values plus additional employee recognition awards and programs (and trips!) Employee Resource Groups: Women’s Coalition, EPIC Veterans Group Professional growth & development: Mentorship Program, Tuition Reimbursement Program, Leadership Development Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs 50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC! EPIC Gives Back – Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation We’re in the top 10 of property/casualty agencies according to “Insurance Journal” EPIC embraces diversity in all its various forms—whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients. California Applicants - View your privacy rights at: https://www.epicbrokers.com/wp-content/uploads/2025/01/epic-ca-employee-privacy-notice.pdf . Massachusetts G.L.c. 149 section 19B (b) requires the following statement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. To learn more about EPIC, visit our Careers Page: https://www.epicbrokers.com/about/epic-careers/ . #LI-SG1 #LI-Onsite

Location: San Francisco, CA | New York City, NY 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 a Field Executive Architect, you will serve as Anthropic's senior technical voice with our most strategic customers. You'll engage directly with C-suite executives and senior technical leaders at the world's largest enterprises to understand their business, align stakeholders around a clear vision for how AI fits into their strategy, and create momentum toward adoption of Anthropic's products. This is not a hands-on-keyboard engineering role. Your job is to walk into a room full of executives, quickly understand their business and technical landscape, and help them see a clear path forward with Claude. You'll then partner with Sales and Applied AI teams to ensure that vision translates into execution -- checking in on high-momentum accounts, maintaining executive relationships, and keeping deals on track. Internally, you'll serve as a sponsor for enterprise customer needs, working with Product to ensure that what matters most to our largest accounts is heard and prioritized. You'll bring deep experience in enterprise technology and a track record of operating at the intersection of business strategy and technical execution. Whether you've been a CTO, VP of Engineering, Field CTO, or a world-class senior technical salesperson, what matters is that you've seen how large organizations make technology decisions and can meet executives where they are -- with credibility, clarity, and conviction. Responsibilities: Engage directly with C-suite and senior technical leaders at Anthropic's largest and most strategic accounts, aligning business and technical stakeholders around a clear vision for AI adoption Prepare for and lead high-stakes customer engagements -- executive briefings, EBCs, on-site workshops -- that change the trajectory of key accounts at critical inflection points Partner with Sales and Applied AI teams before and after engagements to game plan approach, debrief on outcomes, and ensure the vision carries through to execution Lean in on high-momentum accounts after initial engagement, maintaining executive relationships, providing strategic guidance to the Sales and Applied AI teams, and sustaining deal momentum Serve as an internal sponsor for enterprise customer needs, translating field feedback into clear priorities for Product and ensuring the most important enterprise requirements are heard and acted on Bridge the gap between our field organization and Product org -- helping each side understand the other's priorities, constraints, and roadmap Travel regularly to customer sites for executive engagements, workshops, and strategic account meetings You may be a good fit if you have: 15+ years of experience in enterprise technology, with significant time spent in senior technical leadership or senior technical sales roles (CTO, VP of Engineering, Chief Architect, Field CTO, or similar) A track record of engaging credibly with C-suite executives and senior technical leaders at large enterprises -- you can hold the room and earn trust quickly Deep understanding of how large organizations evaluate, buy, and scale technology -- you've seen the inside of these decisions from a leadership seat or from the sales side of the table Enough technical depth to understand modern AI systems and their enterprise applications, and enough business acumen to connect technical capabilities to business outcomes Experience translating between technical and business audiences -- you can make complex topics clear and compelling for both Strong opinions about what makes enterprise technology adoption succeed or fail, informed by having led or closely advised these efforts The ability to navigate ambiguity and move fast in a rapidly evolving market -- you're comfortable operating without a detailed playbook and building the plane while flying it A collaborative mindset -- sales at Anthropic is a team sport Excitement about AI's potential to transform how enterprises operate, and a genuine desire to help customers succeed with it Willingness to travel regularly for customer engagements 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: $400,000 — $500,000 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: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Are you passionate about Responsible AI and ensuring products are built and deployed ethically and safely? Sony Interactive Entertainment is seeking a highly motivated and experienced Senior Responsible AI & Governance Technical Specialist to help ensure our AI products and technologies are developed and deployed ethically, safely, and in alignment with our values. Demonstrable experience in Responsible AI and AI Governance is required. Technical skills are also a must. In this role, you will operate at the intersection of modern AI technology, policy, and ethics. You will design and implement technical governance frameworks, guidelines, and best practices that support responsible AI innovation across the organization. You will identify and assess potential risks, conduct technical and business evaluations, and partner closely with cross-functional stakeholders to embed responsible AI principles into product development lifecycles, adapting to AI-enabled and agentic systems in particular, and identifying where AI-specific guidance or risk mitigations are needed. This is a highly collaborative role working across engineering, product, information security, legal, and business teams to ensure AI initiatives align with regulatory requirements and SIE’s broader strategic goals. The ideal candidate brings a strong understanding of generative AI use cases, technical and sociotechnical risk, and product development, balancing responsible AI commitments with internal and external innovation. If you are passionate about AI Governance and Responsible AI, and have demonstrable experience and skills required for this position, we encourage you to apply. This is an opportunity to build and mature an AI governance program within a fast-evolving landscape. What You’ll Be Doing: Contribute to long-term strategies for building safe, ethical, and innovative AI products and tools Serve as a technical Responsible AI advisor for generative and agentic AI systems, helping teams assess architectures, tool integrations, MCP implementations, data flows, permissions, autonomy, and appropriate human oversight and guardrails Engage stakeholders across the organization to gather feedback and address AI Governance and Responsible AI technical considerations Use AI governance, risk tooling and discovery insights to identify emerging risks and support appropriate remediation and technical solutions Experiment hands-on with emerging AI capabilities, including agents, MCP servers, tool integrations, APIs, and evaluation frameworks, to understand their capabilities and risks and translate findings into practical governance guidance Sit on relevant domain boards as a technical specialist, partnering closely with Product and Engineering Conduct ethical and safety risk assessments, advising teams on mitigation strategies related to bias, fairness, robustness, transparency, and societal impact Partner with engineers, product managers, designers, online safety and more, to proactively identify unintended consequences and emerging risks of AI Coordinate with Information Security and relevant technical teams to align AI governance reviews and risk assessments with security requirements and technical controls Contribute to company-wide best practices for responsible AI development and deployment, including AI literacy materials and case studies What We’re Looking For: 1+ years of experience in AI Governance, Responsible AI, Corporate Governance, AI safety, AI policy, or a related field, with meaningful experience evaluating AI technologies and systems At minimum, 5 years of experience contributing to or leading cross-functional programs from strategy through operational implementation, partnering with product, engineering, legal, security, and operations teams Strong technical fluency in modern AI systems, including LLMs, agentic architectures, tool use/function calling, APIs, cloud services, and automation Hands-on experience working with or evaluating agentic AI systems; familiarity with MCP or comparable protocols and agent/tool integration frameworks strongly preferred Experience with AI red teaming, adversarial testing, or other technical approaches to identifying risks in LLM and agentic systems Understanding of agentic and sociotechnical AI risks, including excessive agency, permissions and data access, unintended tool use, human oversight, systemic risk, and emergent behaviors Ability to translate technical findings and risks into practical controls, mitigations, and guidance for engineering, product, and business teams Ability to independently drive outcomes across cross-functional teams with minimal supervision Strong analytical and communication skills, sound judgment, and the ability to challenge assumptions and navigate ambiguity in a fast-moving environment Ability and curiosity to stay current with emerging AI capabilities, risks, frameworks, and industry developments, particularly within technology, entertainment, and gaming Preferred Qualifications: Familiarity with relevant regulations, standards and ethical guidelines (e.g., EU AI Act, OECD Principles, NIST AI RMF, ISO/IEC 42001) Proficiency in producing meaningful visualizations and reports, and effectively presenting technical results to diverse audiences Industry experience in tech, gaming or (interactive) entertainment At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $132,800 — $199,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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 Data Center Security Engineering (DCSE) owns physical security across Anthropic's data center footprint: the sites, the hardware inside them, and the supply chain that delivers it. The Security Fusion Platform is where physical security signals from across that footprint are correlated and put in front of the analysts who act on them. It carries continuous monitoring, audit evidence, metrics, and analyst response, along with the classification and analytics pipelines that turn sensor data into events. You'll build and own the platform analysts work from. This is a foundational role. You'll build the software platform that carries a signal from source to analyst decision, ship its first versions, and keep them running in production. The sensors and systems at each site belong to other DCSE engineers; you define the event contract their owners deliver to, and you build the classification and analytics pipelines that run over what those sources produce. Physical security systems engineers own the operations spaces; you own the software that runs in them. You'll work alongside engineers focused on the sites themselves. What you lead, you own end to end: the design, the technical approach, and the result in production. You'll work with external vendors and integrators, setting requirements and acceptance criteria for what you own and deciding what the team builds itself. We use Claude throughout our engineering workflow and expect you to as well. This role involves regular travel to data center sites. No security clearance is required. These are critical services, and you'll take part in on-call for them. Key responsibilities Design and build the event bus and normalized event schema: source identity, sequencing, health state, and the adapter contract that owners of each sensor and system feed build to, plus adapters where needed Build correlation and alerting: the rules and services that turn events from independent sources into alerts an analyst can act on Build the classification and analytics pipelines: computer vision and multi-sensor fusion, with results landing on the event bus Build analyst surfaces: the queue, escalation tooling, dashboards, camera viewers, and video wall content a 24/7 watch works from, plus video analytics integration so camera streams arrive on the bus as events Deliver audit evidence: durable, tamper-evident event history, evidence exports, and the retention and access controls around them Instrument metrics and self-monitoring: detection rates, nuisance ratios, alert aging, time to resolve; heartbeats and loss-of-telemetry alarms on every feed, tested fail-secure behavior, and change audit on every rule Deploy across sites: site-local components, central services, and the sync that keeps configuration, rules, and state consistent, then commission each site and hand over to the analysts Specify the compute the platform runs on (servers, storage, and the platform's network segment) to the team's segmentation and hardening baseline Write requirements and acceptance criteria for what vendors and integrators deliver, review deliverables against them, and make the call on accepting or rejecting the work Minimum qualifications Have built and run event-driven backend systems in production Are proficient in at least one backend language such as Python, Go, or Rust, and have worked with a message bus or event streaming system such as Kafka Have owned a system end to end: set the design, made the tradeoffs, shipped it, and answered for it in production Have integrated with external systems you did not control (vendor APIs, on-prem appliances, video platforms, building systems) and designed for a life beyond any one vendor Have directed vendor or integrator work: written requirements and acceptance criteria, reviewed deliverables against them, and decided what gets accepted Design for the failure you won't see coming (a silent feed, a lost network path, a replayed event, a de-tuned rule), know how your system behaves when a source lies or goes quiet, and test for it Build tools for people who use them under pressure and iterate with those operators Preferred qualifications Experience building or operating a security operations platform (SOC, physical security operations, or the detection engineering behind one) Experience building ML or computer vision inference pipelines over video and sensor streams PSIM (physical security information management) or VMS (video management system) integration experience, or familiarity with physical access control and building systems data Experience producing evidence for auditors or assessors: log integrity, retention, chain of custody Experience using AI-assisted development tooling as a core part of your workflow 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 — $405,000 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.

Задачи: — продажи через звонки и переписки; — работа с тёплой базой: анкеты предзаписи, заявки, регистрации, чекины и лиды после эфира; — быстро включаться в большой объём лидов; — ориентация на план, конверсию и результат; — работать 6/1 и сделать запуск приоритетным проектом. Требования: — опыт продаж в онлайн-проектах; — уверенные продажи на звонках и в переписке; — опыт работы в Битрикс24 будет преимуществом. Условия: — удалённая работа; — 8 рабочих часов внутри окна 9:00-21:00 мск, работаете в удобное для себя время; — срок работы: выход сразу - до 17 октября; — ориентир по доходу 80 000-120 000 ₽ за запуск.

Location: Worldwide Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. SDG invests in social discovery and IT startups around the world directly or via VC funds. Among our investments were Patreon, Open AI, Clubhouse, Coursera, Data.ai , Flo, Academia.edu , and many others. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for Head of Design . Your main tasks will be: Own the end-to-end the product's user experience — from ad creative and landing pages through onboarding, avatar selection, chat, media generation and retention loops — holding the whole journey consistent, not just individual screens. Grow product metrics through design: conversion to purchase, retention, LTV. Form hypotheses, prioritize them, validate through A/B tests and see them through to release. Set a single design direction and evolve the design system: UI, UX patterns, character visual style, generated content, animation and UX copy. Lead the design team (2 product designers, a UX writer, a researcher), build the processes and the cross-functional work with product, analytics, marketing and engineering. Turn research, user interviews and support insights into concrete roadmap initiatives aligned with business priorities. We expect from you: 3+ years leading a design team of 3 or more in B2C daily-use products — AI companions, social, dating, health & fitness, edtech, messengers; products with 2M+ MAU or $50M+ in revenue. Cases with measurable design impact on metrics: what you changed, why, and how it moved CR, retention or LTV — with before and after numbers. Strong product design expertise: UX, UI, user flows, information architecture, prototyping; confident in Figma; experience building and maintaining design systems. Proven cross-functional work with product and analytics: A/B testing, prioritization frameworks (RICE), data-driven decisions — design as part of the product, not a separate function. A strong visual eye and taste paired with an analytical mind; English at C1 or above. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!