Вакансии

-Анализ бизнес-требований и участие в планировании доработок. -Написание и поддержка автоматизированных тестов на Python (pytest) для бэкенд-сервисов.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role We are looking for an experienced Engineering Team Lead to build and lead the FirstRead team , a new product-focused team within Aidoc’s Imaging Platform group. FirstRead, Aidoc’s report-generation initiative, is one of the company’s most important and high-potential new products. We have decided to found this team, following a highly successful product beta, in which our AI drafted thousands of full radiology reports, covering hundreds of different clinical findings with near-human accuracy. The product is evolving rapidly, and so will the team around it. With the opportunity to shape the product and its technical direction from the ground up, the FirstRead team will be accountable for the product outcome end-to-end . The team will work across the stack, using existing platform capabilities where possible, evolving them where needed, and building new services and capabilities when required. This is a role for a TL who enjoys shaping new products and turning evolving opportunities into clear technical direction. The team’s scope, architecture, priorities, and  longer-term mission will evolve as we learn. You will play a central role not only in delivering FirstRead, but also in building the team itself and shaping how product-focused teams operate within Imaging Platform . You will work closely with Product, AI teams, and other engineering teams across Imaging Platform to turn rapidly evolving product needs into working software, while balancing speed, technical quality, and long-term platform considerations. Responsibilities End-to-End Ownership: Lead the engineering effort required to make FirstRead successful, across engineering disciplines including  backend, frontend, AI infrastructure, DICOM pipelines, existing platform services, and entirely new components. Creating Clarity in a Fast-Moving Environment: Turn changing product needs and incomplete information into technical direction, priorities, and executable plans. Continuously adapt as the product evolves. Technical Leadership: Drive architecture and technical decisions across a broad technical surface. Know when to move quickly, when to invest in robust solutions, and when to involve domain experts. Cross-Team Engineering: Work closely with other TLs and engineers across Imaging Platform. Enable the team to contribute to existing services and platforms while respecting their architecture, ownership, and long-term direction. Team Building: Build the FirstRead engineering team, establish its culture and ways of working, develop engineers, and help shape its longer-term mission as a product-focused team. Delivery and Product Partnership: Partner closely with Product and other stakeholders, taking ownership of turning evolving product direction into concrete engineering execution. Engineering Excellence: Maintain strong engineering standards while operating in a fast-moving environment, balancing experimentation and delivery speed with reliability, maintainability, and scalability. Requirements Senior hands-on software engineering experience , including experience building complex systems end-to-end. Exceptional track record leading engineering teams , while remaining actively involved in technical and architectural decisions. Strong sense of urgency, with the ability to drive execution and maintain momentum in fast-paced, high-priority projects. Proven ability to lead projects in ambiguous, rapidly changing environments , where requirements and technical direction are not fully defined upfront. Broad technical experience and passion for working across different areas of the stack rather than specializing exclusively in a single domain. Strong system design and software engineering fundamentals, with experience designing and building distributed production systems. Demonstrated ability to take ownership of an outcome from early concept through implementation, production, and continued evolution . Excellent collaboration and communication skills, with demonstrated ability to work effectively across engineering teams and organizational boundaries. Strong product and business orientation, with the ability to balance technical considerations with speed, learning, and business impact. Strong leadership, mentorship, and team-building skills. Advantages Experience working in an environment with shared platforms and multiple engineering teams contributing to the same product. Experience across multiple areas such as backend, frontend, cloud infrastructure, data pipelines, or AI/ML systems. Experience with AI-powered products or production AI systems. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; 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 Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search. Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude. That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work. This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it. Key responsibilities Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliability Share the on-call for the systems you own Minimum qualifications Experience building and operating user-facing products used by a large number of people, including the backend services behind them Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design Strong programming skills in Python and TypeScript, with experience across backend services and web front ends A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback Experience defining product metrics and running experiments to make decisions Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners Interest in AI safety and Anthropic's mission Preferred qualifications Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking Experience on consumer products with strong retention, or on personalization systems Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA Experience with latency-sensitive, performance-critical product work Experience mentoring engineers or setting technical direction for a team 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Limassol, Cyprus Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Junior Compliance & AML Officer to join our team to monitor and ensure compliance with all applicable laws, regulations, and standards. Join a high-caliber team and contribute to its success with your passion, hard work and positive attitude. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives such as Futures & Options. Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles, and several other locations worldwide. Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who thrive in an environment that supports growth, innovation, and excellence. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional development. Join the Tigers! What does the job look like? The Junior Compliance & AML Officer will have the opportunity to: Monitor the activities of the Company's, including websites, customer communications, live chats, marketing materials, and operational processes, to identify and address potential compliance issues. Maintain up-to-date knowledge of relevant regulatory requirements and provide practical compliance advice and guidance to internal departments. Support client onboarding by conducting Know Your Customer (KYC) checks, Anti-Money Laundering (AML) screening, due diligence, and risk assessments. Review and investigate alerts relating to potentially suspicious activity and escalate cases to the Anti-Money Laundering Compliance Officer (AMLCO), where appropriate. Assist in developing, reviewing, and maintaining internal compliance policies and procedures, including the Anti-Money Laundering (AML) Manual. Assist with regulatory enquiries and requests, internal audits, and ad hoc compliance reviews across the Group. Support the delivery of staff training and provide guidance on AML/CFT risks, obligations, and awareness. Provide ongoing day-to-day compliance support to internal stakeholders, ensuring a sound understanding of applicable regulatory obligations and best practices. Perform any other ad hoc compliance and AML-related duties as assigned by the Head of Compliance or Senior Management. What will you need to be able to do the job? Academic background in Law, Business, Finance, Economics, or a related field. At least one year of relevant professional experience is required. CySEC certification will be considered an advantage. Candidates who do not currently hold the relevant certification but demonstrate a strong willingness to learn and develop will be supported by the Company in obtaining the AML and/or Advanced CySEC certification. Strong work ethic, with the ability to take initiative, work proactively, and demonstrate a high level of responsibility. Fluency in both Greek and English, with excellent verbal and written communication skills. Excellent presentation skills and the ability to communicate information clearly and effectively. Ability to work independently while also contributing effectively as part of a team. By joining us, you can expect: Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance). Opportunities to learn and grow through our “Employee Training & Development program”. Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Participation in our welfare investment and savings plan through our Provident Fund Scheme. Birthday and Loyalty benefits. Collaboration with SportBenefit. What to expect from our recruitment process: First interview with TA and Head of the Department Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis

Location: Canada; United States About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the Company Our client is a high-growth data intelligence and strategic research consultancy that helps organizations turn complex information into measurable business value. Specializing in data activation and platform implementation, the team bridges the gap between technical architecture and commercial strategy. They serve high-stakes industries including financial services, healthcare, and retail by building governed data solutions that drive confident, evidence-led decision-making. Operating with a senior-led model, the firm prioritizes business outcomes over technology checklists, utilizing deep expertise in research design and engineering to solve critical challenges. The team is built on a culture of platform honesty and bounded delivery, moving away from traditional staffing pyramids toward a more focused, impactful approach. This is an opportunity to join a specialized group of practitioners dedicated to transforming how modern enterprises utilize data to achieve clarity and results. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a high-octane Sales Executive to lead a critical expansion phase for a premier digital marketing agency. Having dominated the automotive and collision repair space, the team is now scaling into new verticals. We need a full-cycle closer who thrives in the "zero-to-one" phase—someone who can hunt, consult, and close high-value retainers while leveraging modern AI tools to outpace the competition. This is an opportunity to report directly to GTM leadership and shape the growth trajectory of a fast-moving, distributed agency. Key Responsibilities Execute the full sales cycle from proactive lead generation and outbound prospecting to discovery, proposal, and closing. Identify and penetrate new market verticals, translating the agency's proven success in automotive into fresh industries. Conduct deep-dive discovery sessions to understand client pain points and pitch complex, multi-channel marketing retainers. Manage a clean and rigorous pipeline within HubSpot, ensuring all data is accurate and actionable. Collaborate with the creative and performance teams to ensure proposals are feasible and aligned with client goals. Integrate AI tools into your daily workflow to accelerate prospecting, personalize outreach, and streamline administrative tasks. Requirements Location: Must be based in the United States or Canada. Agency Experience: Proven track record selling professional services within a digital marketing agency environment. Full-Cycle Expertise: Demonstrable experience running the entire sales process; we are looking for a closer, not just an SDR or account manager. Proven Performance: A history of hitting or exceeding quotas with specific revenue numbers to back it up. Tech-Forward: You are an early adopter of AI tools and can articulate how you use them to gain a competitive edge. Digital Literacy: Deep understanding of the digital marketing landscape, including performance marketing, SEO, and creative strategy. Sales Hygiene: Disciplined CRM habits (HubSpot preferred) and a structured approach to pipeline management. Benefits 💰 Competitive salary and uncapped commission structure 🌎 Fully remote work environment 🚀 Career growth and leadership opportunities 📈 Long-term stability in a growing market 🎯 Performance-based incentives and bonuses

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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bangalore Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION As a Senior RPA developer you work with businesses and Partners to help them leverage full potential of UiPath Automation Platform. You would involve in Developing, Testing and Building world class robots that impacts revenue growth, operational efficiencies, customer/Employee satisfaction of our end customers. You will be part of a group of elite Developers in UiPath Professional Service and may lead a few. WHAT YOU'LL DO AT UIPATH - Code and test automation workflows using UiPath Studio using coding agents (Autopilot & Other coding agents). - Verifying and leveraging appropriate UiPath components from UiPath Product Suite. - Provide solution designs to customers throughout the deployment of new deals, during POCs (Proof of Concept) and project implementation phase. - Make changes to the robot code during implementation as needed. - Develop workflows and custom activities using VB.NET/C# http://VB.NET/C#. - Responsible for the overall testing cycles - Deliver technical training, demos, and blueprints and provide necessary support for new/existing clients. - Mentor budding Developers. WHAT YOU'LL BRING TO THE TEAM - Graduate/Postgraduate in Computer Science/IT or equivalent Degree. - 7+ years of experience in the IT industry with code development background. - Minimum of 4 years of experience in developing and implementing automation workflows in UiPath. - Experience leading a Team is a Plus. - Hands on experience in development using Coding agents and their capabilities. - Very good understanding on prompt engineering and best practices - Strong technical skills on UiPath, and end to end UiPath Product Suite. - Understanding of workflow-based logic and hands on experience with RE-framework, Orchestration Framework and DU (Document Understanding) Framework. - Hands on experience in UiPath Agents, Maestro, Coded Agents, Coded Apps, Coded Action App, Coded Workflow, IXP, API Workflow. - Candidates are expected to be up to date with UiPath CLI skills used along with Coding Agents to accelerate development and troubleshooting. - Basic programming/Scripting knowledge on VBA/VB/java/C#/HTML/CSS/Javascript/Python script or equivalent is must (or any scripting language, python is a plus). Good knowledge on using IDEs. - Working Knowledge on Document Understanding, Computer Vision, AI Center and Action Center - Experience working with Mainframe Automation, SAP Automation or Citrix Automation is a plus. - Experience working with other RPA tools is a plus. - UiPath Certified Professionals are Preferred. - Excellent communication skills are a must. - Knowledge in cognitive automation with OCR (Optical Character Recognition) tools, AI/ML skills is a plus. - Understanding UiPath Infrastructure requirements is a plus. - Experience Working with Test Suite, Apps, Insights is a plus. - Understanding Generative AI and new releases of UiPath is a plus. - Understanding of Cloud services like Azure/AWS/GCP is a plus. #LI-MR1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

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 Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption across a small number of enterprise accounts in our Enterprise Tech segment. As our dedicated Customer Success Manager for Enterprise Tech Customers you’ll be their partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas. You'll work with a book of global technology leaders to actively deploy AI and reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion Own customer operations across the lifecycle of each account, maintaining a structured operational assessment (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Executive Business Reviews Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of each customer, and the patterns you see across your other Tech accounts, to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses and quantifying outcomes that build the case for continued and expanded investment. Monitor usage patterns and identify optimization opportunities across Claude surface areas (API, Claude Code, Cowork) to drive full value from contracted commitments Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions You may be a good fit if you have: 6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or Strategy Consulting Experience working with F500 technology companies, SaaS platforms, or digital-first businesses at the exec level—ideally including high-growth and established tech companies. You understand what it means to lead organization-wide change or adoption programs (multiple functions, hundreds of users) for a product that requires C-suite sponsorship Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes — you can run multiple enterprise motions in parallel without letting any account go quiet. Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Passion for AI and interest in responsible development of advanced systems. You have built with Claude Code, automating your own workflows with agents, skills, and tooling. A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality 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: $200,000 — $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: Remote - US Workplace: Remote At Moxie, we empower ambitious aesthetic entrepreneurs to build profitable, independent practices—without burnout, overwhelm, or guesswork. In just a few years, we've grown from an idea to a global, remote-first team now supporting 700+ practices nationwide. Our purpose is simple: to unlock sustainable success for aesthetic entrepreneurs, at every stage of their journey. DIRECTOR OF ENGINEERING We're looking for a Director of Engineering to lead Moxie's Engineering organization through its next phase of growth and technical transformation. Your primary mandate will be to materially improve our engineering delivery velocity, predictability, and quality by identifying and eliminating bottlenecks across our software development lifecycle, modernizing our engineering practices, and leveraging AI and automation to increase engineering productivity. You'll lead an organization of roughly 60 engineers, owning day-to-day delivery, organizational health, manager development, staffing, and engineering operating strategy. You'll partner closely with the Head of Engineering and Product leadership to translate these improvements into faster, more reliable delivery of customer and business value. OUR OBJECTIVES FOR THE ROLE - Become the clear leader of Engineering. Within your first 30 days, assume day-to-day leadership of the Engineering organization, establish an effective operating cadence with our Engineering Managers, and become the primary escalation point for cross-team delivery, staffing, and execution issues. Within 60 days, take full ownership of engineering delivery and organizational performance, with routine execution and management decisions operating independently of the Head of Engineering. - Materially improve engineering delivery effectiveness. Within your first 30 days, assess existing engineering performance measures (Linear, DORA, reliability metrics, etc) and identify the largest bottlenecks to engineering throughput. By day 60, establish and begin executing a prioritized improvement plan with measurable targets. By day 90, demonstrate meaningful progress against the highest-priority bottlenecks, and by month four, deliver a material improvement to at least one major constraint. - Modernize engineering delivery practices. Partner with Platform Engineering and technical leadership to simplify and accelerate our CI/CD pipelines, improve release frequency and reliability, and reduce manual bottlenecks across development, testing, code review, and deployment. Leverage automation and AI-assisted workflows to increase engineering throughput while maintaining strong standards for verification, security, and production quality. - Make AI a source of leverage. Build on our existing adoption of AI-assisted development to systematically improve engineering productivity and software delivery. Within your first 30 days, assess our AI development practices and identify opportunities for higher-impact automation. By day 60, prioritize and begin executing initiatives across agentic development, automated testing, code review, and delivery workflows. By day 90, demonstrate initial operational improvements, and by month six, establish AI-driven engineering practices that measurably improve delivery throughput, cycle time, or quality while maintaining clear standards for security, reliability, cost, and verification. - Set an opinionated technical roadmap. By month four Engineering ships meaningfully more customer and technical value per engineer, with capacity deliberately allocated across product delivery, architecture, platform investment, reliability, developer productivity, and technical debt, and aligned with Product and company priorities. WE'RE LOOKING FOR - 12+ years of software engineering experience, including 5+ years in engineering leadership and at least 3 years leading managers and technical leaders. - Management depth. You've run a 30-60 person engineering organization through multiple Engineering Managers, ideally at a Series B-D product company, and you set a consistent management bar, develop and coach EMs, and handle performance, staffing, and org design decisions directly, including through a reduction in agency reliance. - Operating rigor. You've built KPI systems (DORA, cycle time, reliability) that teams actually use to change behavior, and you can partner with Product leaders to surface risks, dependencies, and tradeoffs early. - Proven engineering transformation experience. You've led meaningful improvements in engineering throughput, delivery predictability, or software quality across an established engineering organization. You can identify systemic bottlenecks, make pragmatic tradeoffs across people, process, and technology, and demonstrate measurable outcomes from the changes you've implemented. - Proven experience building production AI and agentic systems. You've shipped AI in a product or SDLC with real standards for evals, observability, security, and cost, and you can explain the ROI impact of the work in detail. - Technical judgment. You’re very comfortable with system design, software design patterns , and engineering processes & principles (agile, scrum, SRE, devops, etc). You’re comfortable reviewing and designing architecture, and in making capacity tradeoffs between feature delivery and platform investment, and know how to build relationships and earn the trust of your senior engineers and EMs. - Comfort with real delegation and real authority. You have experience in building and shaping engineering organizations, from hiring strategy and people management to maturing the SDLC and org design. You’ve worked closely with founders and senior technical leaders, and also know how to bring the best out of engineering managers and staff engineers in your org. Health tech or vertical SaaS experience is a plus. This is not a role for someone who wants to manage purely through other leaders at arm's length from the technical work; you'll stay close enough to the architecture and the AI roadmap to guide them. WHY JOIN US? - A true Engineering leadership seat at a Series C healthcare technology company, with an organization of roughly 60 engineers and meaningful ownership over delivery, org design, talent, technical execution, and strategy. - AI is a core part of the mandate. You'll have the mandate and the support to make AI a material source of leverage across both Moxie Suite and how we build it. - Above all, we're in this to empower small business owners to own and grow their businesses. If you succeed, Med Spas will remain the opportunity for independent owner-operators instead of being dominated by a small number of large chains. If that speaks to you, speak to us. - We have much left to build. But given the market feedback we're getting and our founding team's company-building experience, we think we are writing the next great chapter of a real success story. - Competitive salary and stock, and generous health, dental, and vision coverage. At Moxie, we believe in creating a workplace where everyone feels valued, trusted, and included. Our team lives by our values: act as owners, give more than we take, move with speed and care, and simplify and learn every day. We welcome people of all backgrounds, experiences, and perspectives to apply. If you require any accommodations to fully participate in the interview process, please let us know, we’re happy to assist.

Location: Lanham, MD Position Purpose The Rapid Response Nurse is part of a multidisciplinary team (Respiratory Therapist, X-Ray, and Lab) and when necessary will consult with other medical personnel to determine and administer interventions and treatments for patients who manifest potential lifethreatening symptoms. Assists the primary Nurse in assessing and stabilizing the patient’s condition and communicates to the patient’s attending physician to determine the patient’s care plan and if the patient should be transferred to a higher level of care. Role Specific Competencies 1. Adheres to the purpose and objectives of nursing practice of the Department of Nursing Services, utilizing approved protocols to intervene in urgent situations on the patient’s behalf. Collaborates with the patient’s primary nurse on the status of the patient requiring the Rapid Response Nurse. Rapid Response nurse will assess patient with the primary care nurse. Must be knowledgeable in SBAR (Situation, Background, Assessment, and Recommendation) method to communicate information about the patient. Receives report from the Primary Nurse on the status of the patient requiring “Rapid Response”. Documents an evaluation of the patient’s response to the interventions. Communicates routinely with the physician to provide and gain information which will facilitate patient care. 2. Ensures patient safety. Uses equipment and supplies as intended. Reports missing or malfunctioning equipment appropriately and following up on service. Accept assignment and functions effectively and efficiently to ensure that patient needs are met. Continually rounds in patient care areas and assists with the care of patients in non-emergent situations. Provides education to staff on the underlying circumstances which changed the patient’s condition. Mentors and supports staff in the execution of care to patients via skill enhancement / demonstration / education. Supports patient throughput initiatives by directive, delegation or individual initiation. 3. Organizes and carries out emergency protocols. Recognizes potentially life-threatening clinical situation and intervenes appropriately to prevent complications by implementing standing orders and protocols. Rapid Response Nurse evaluates clinical findings in/or relating to patient history and ongoing therapies. Determine interventions in coordination with other medical personnel regarding treatment/ interventions. Functions effectively in clinical emergencies, demonstrating an ability to implement Emergency Cardiac Orders appropriately. Assist the primary nurse in assessing and stabilizing the patient’s condition and organizing information to be communicated to the patient’s attending physician. Rapid response nurse also communicates with the patient’s attending physician. Patient’s primary nurse documents the assessment and physician call in their patient’s nursing notes. Utilizes Intensivist back-up in case attending physician does not respond and the patient is unsafe in their current setting. Rapid Response Nurse is part of a multidisciplinary team (respiratory therapist, x-ray, and lab) and when necessary will consult with other medical personnel. Roles as Rapid Response Nurse are to educate, mentor and provides support to the primary nurse. Stress to the primary nurse on the floor that they maintain responsibility for the patient. Rapid Response Nurse will check every test that is ordered and provide that information to appropriate individuals attending physician and when necessary with the Intensivist. If patient transferred to higher level of care, assist with the transfer. C ommunicate with family about what is going on with the patient. If necessary, Rapid Response Nurse will assist in monitoring patient until patient is transferred. If necessary, communicate with the Administrative Nursing Supervisor and Charge Nurse in ICU. Feedback to primary care nurse on patient condition and their role in improving the care of their specific patient. If patient is not transferred, Rapid Response Nurse will recheck the patient an hour later after the initial call. 4. Participates in programs designed to increase the effectiveness of nursing practice. Participates in the process of performance improvement related to Rapid Response Nurse. Data collection to include reasons for activation, location of call, interventions, the number of interventions, and outcome. Time of calls and number of calls for Rapid Response Nurse. Attends at least one continuing education program, including unit in-services, mock drills, and external conferences. Attend departmental and executive meetings to provide information as necessary. Collects and provides outcome data to stakeholders through graphs, e-mail communication and presentations. Gather statistics related to rapid response outcome versus codes, long term impact on nursing retention and financial benefits. Qualifications and Experience ACLS certification. Current C PR/BLS is required. Graduate from an accredited School of Nursing. RN license in Maryland or compact state Physical Requirements Concentrates on moderate to fine detail for extended period of time. Lifting and carrying items weighing up to 50 pounds. Must be able to hear normal sounds and with some background noise. Remembers schedules, tasks to be completed and where activities left off, etc. Sitting, standing and walking for extensive periods of time. Understands and can operate from the conceptual basis of tasks and activities. Pay Range $39 — $58 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: United States What The Role Is Babylist Media sells onsite and offsite advertising to the brands that growing families rely on. This role owns the supply side of that business: our Koddi ad stack, how onsite inventory is structured and served, how it's monetized, and how campaigns are distributed offsite. It's a new role. Until now, this work has been split across several people, and no one has owned it end to end. You'll report to the Director of Revenue Operations. You'll lead offsite media support and our outsourced onsite ad ops partner, and you'll still be hands-on in the ad server yourself. Who You Are You have sell-side experience : you've worked at a publisher or retailer that owns and monetizes its inventory You've administered an ad server hands-on : line items, targeting, priorities and delivery rules, recently enough that you can still do it yourself You understand ad server logic and its tradeoffs : priority tiers, how competing demand is decided, pacing, frequency and fill. You can explain why a campaign under-delivered You've owned yield : eCPM, fill, sell-through and utilization, and you've turned those numbers into inventory and pricing decisions You've built inventory frameworks : capacity planning, allocation and prioritization rules, and controls that prevent overselling You've led people and partners while still doing hands-on work : you've set priorities for a team or vendor and held them to standards, and you still configure campaigns yourself when a launch needs it Retail media experience is a big plus : our inventory sits next to registry and shop purchases, and Koddi is a retail media platform You have working knowledge of the broader stack: DSPs, SSPs, programmatic, identity and measurement Experience moving a direct-sold, flat-fee business toward CPM or programmatic selling is a plus Familiarity with paid social distribution (Meta, TikTok, Pinterest, YouTube) sold as a media product is a plus You can explain a technical tradeoff to Sales, Product and Finance in plain language and get a decision You're comfortable moving between strategy, vendor management and troubleshooting in the same week. Parts of the stack are still manual, and you'll be defining the playbook, not following one You naturally reach for AI in your work — at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next. How You'll Make an Impact Assess the current stack in your first 90 days and deliver an ad-tech, inventory and yield roadmap Own Koddi configuration, serving logic and delivery health across onsite placements: Registry, Feed, Shop and more Set the inventory rules for capacity, allocation and prioritization, and partner with Revenue Systems so Boostr and Koddi enforce them Increase eCPM, fill and utilization from the supply we already have Stand up the outsourced onsite ad ops partner: SLAs, QA standards and escalation paths Lead offsite distribution strategy across Meta, TikTok, YouTube, Pinterest and Babylist Connect Build incident response so delivery issues are caught before they turn into make-goods Own the roadmap from flat-fee sponsorships toward CPM-based selling and, over time, self-serve buying Why This Role We need a hands-on experienced owner of ad tech, inventory or yield. You'll define the function instead of inheriting someone else's playbook The business is moving from flat-fee placements toward CPM and self-serve, and you'll own the roadmap that gets it there You'll set the strategy and lead the execution team, and you'll still work in Koddi yourself. It's a player-coach role, not a desk job reviewing other people's work The inventory is first-party and high-intent: expecting and new parents shopping on registry and in the shop About Compensation We use a market-based approach to compensation. The starting salary range for this role is: $143,963.00 to $ 192,062.00 with an annual bonus range of 20% to 25% Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity. Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.

Location: New York, NY Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... We’re looking for a Senior Director of Performance Marketing to lead the team that drives Duolingo’s paid user acquisition for Duolingo's mobile apps across 100+ markets and our language, chess, and math products. You’ll own the strategy, the budget, and the people, and you’ll be accountable for proving what our spend actually buys. 🧠  You will... Lead and grow a team of performance marketers, including managers, and set a high bar for craft, rigor, and ownership Own the global paid acquisition budget and portfolio across Google, Apple Search Ads, Meta, TikTok, AppLovin, DSPs, and China platforms, deciding where to scale, hold, or pull back as efficiency changes Set the measurement standard for the team: incrementality testing, saturation modeling, and LTV and ROI frameworks that Finance trusts Translate channel performance into annual and in year investment plans, and defend them with executive leadership Build creative production that scales, combining agency, UGC, creator, and in house work with testing infrastructure that finds winners fast Manage agency and ad tech partners, holding them accountable to goals, pacing, and quality Flex spend with the organic calendar, including product launches, seasonal swings, and viral moments, in partnership with Social, Brand, and Country Marketing Partner closely with Marketing Analytics, Finance, Product, Engineering, and Creative ✅  You have... 12+ years in performance marketing or paid UA with most experience on mobile apps, including 5+ years leading teams with managers reporting to you A track record of owning a large, multichannel mobile acquisition budget at a top subscription or high engagement consumer app Deep experience building and defending incrementality tests, saturation analysis, and LTV/ROAS models, not just reporting on them The judgment and integrity to recommend cutting spend when returns don’t support it Fluency with mobile attribution (MMPs, SKAN, privacy constrained measurement) Experience partnering with Product and Engineering on measurement and attribution infrastructure, onboarding and landing experiences for paid users, and tests that connect acquisition to retention. Clear, fast written communication, from channel tactics to executive and board level ROI discussions ⭐  Exceptional candidates will have... Experience running UA in China or other walled garden ecosystems Experience scaling creator or UGC programs alongside performance creative Experience managing acquisition across multiple products or apps A passion for Duolingo’s mission The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $236,800 — $355,200 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon 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. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Remote US; Remote Canada Workplace: Remote InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com http://www.influxdata.com. As a Developer Advocate on our Developer Relations team within Marketing, you’ll make developers more productive and empowered by creating demos and technical content, giving talks, organizing meetups, and engaging with users online. You’ll represent InfluxData to the community and the community to InfluxData, working with Product and Engineering to align their efforts with what the community needs. InfluxData is a company built by and for developers. The Developer Advocate on the Developer Relations team will be a leader who directly impacts our entire user community. What you’ll be doing - Become an authority on the InfluxDB platform, open source and commercial - Help developers get started on InfluxDB and build their own solutions - Establish a social media presence that represents InfluxData - Encourage InfluxDB adoption through blogs, videos, and other content you create - Be an active voice in Influx Community groups and Slack discussions - Showcase InfluxData through regular talks at conferences, meetups, and online events - Build and deliver technical training workshops on Influx software - Support and empower our user community and reduce onboarding friction through code samples, debugging, direct partner engagement, prototypes and long-tail support channels (forums, office hours, blog posts, and more) - Influence InfluxData’s product strategy as the developer’s advocate inside the company, working with Product Management, Engineering, PR, Marketing, Business Development, and other cross-functional teams - Build relationships with technical experts and communities around other projects What we’re looking for - You’re a strong public speaker with experience presenting at conferences, meetups, or online events - You have 2+ years of experience working with and supporting open source projects, developers, platforms, communities, or user groups - You’ve built technology demos and examples that developers can follow - You know software development and can learn new technologies and languages Bonus points if you - Have built and delivered technical training, both in person and online - Have strong technical writing skills - Have contributed code to open source projects - Have hands-on experience with IoT and edge devices, protocols, and frameworks - Have experience with Python, JavaScript, Java, or similar languages - Have worked with or for database companies Applications will be accepted on a rolling basis. Interview Information: Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage. We offer fantastic benefits for full time employees; in the US these include: - Medical/dental/vision insurance with 100% coverage for employees - Company contribution to your FSA - Flexible Time Off - take the time you need - Life Insurance, short and long term disability insurance - 401(k) - Wellness programs - Annual professional development budget - Financial planning and legal advice Our Core Values Our employees are the heart of the company and only by having a core set of beliefs and values will we be successful. We hire and live by these core values: - We value each other - We get stuff done - We believe humility drives learning - We embrace failure - We are committed to open source Visit our careers page https://www.influxdata.com/careers/ to learn more about working at InfluxData. InfluxData is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other categories protected by applicable law.  To view our Know Your Rights Poster click HERE https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf To view our CCPA policies click HERE https://www.influxdata.com/wp-content/uploads/November-2023-InfluxData-Candidate-Privacy-Notice.pdf If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request reasonable accommodations by reaching out to the recruiting team by emailing apply@influxdata.com.  InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place. Beware of job scams and fraudulent offers! Our recruiters use @influxdata.com http://influxdata.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank accounts or social security numbers. If you have been contacted by someone claiming to be from InfluxData from a different domain about a job offer, please report it as potential job fraud to law enforcement and to jobs@influxdata.com.

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: We're piloting a new type of voice work as part of a voice data collection program: live, roleplayed customer service calls. You play the business, such as a clinic receptionist or a facility assistant. A member of our training team calls you as the customer. Calls are unscripted on the caller's side, so you'll need to stay in character, follow a defined policy, and handle whatever comes up naturally. After each call, you score the caller's performance on a short online form. You're assessed on three things: how well you perform, how well you capture the audio, and how accurately you evaluate the call. What You’ll Own: Prepare in advance from two receiver scripts that you'll receive at least 24 hours before your session. Learn the beats well enough to deliver them as natural speech, not read them aloud. Take two role played calls of about 5–7 minutes each in a single 20-minute session. One is a routine call. The other is more demanding and requires you to hold a firm position politely while the caller pushes back. Deliver clear, expressive, and consistent vocal performances across calls, following the project guidelines for tone, pacing, and scenarios. State fixed facts exactly as written, including prices, hours, policies, and timeframes. Capture caller-supplied details such as names, phone numbers, dosages, and amounts precisely, and read them back accurately. Verify a caller's identity and authority before acting on an account and disclose only what the script permits. Hold a policy without inventing authority, workarounds, or exceptions, and without sounding cold or robotic. Record both sides of each call as a single mixed audio track using the provided capture equipment. Name the files exactly as specified and upload them to the designated folder shared in your briefing packet. Within 24 hours of your session, upload both recordings and complete a structured evaluation of each call: scores on a 1–5 scale, error tags with severity ratings, and specific, timestamped notes that someone who didn't hear the call could act on. You’ll Thrive in This Role If You Have Native-level English, including comfort reading numbers, names, and medication dosages back accurately. Professional experience in voice acting, acting, concierge-style or customer-facing voice work, or similar. Call-quality monitoring, QA analyst, or trainer/CSM experience in a BPO environment. Reception or front-desk experience in a clinic, property management, or storage/utilities setting. Theatre, improv, or voice-over experience. A quiet, uninterrupted space at home for the session, with no background noise or shared room. Availability for a 20-minute live session, plus preparation time before and evaluation time after. Strong attention to detail and the ability to follow precise technical and file-delivery instructions. The expected hourly salary range for this position is $25-$30p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: San Jose, California or Remote Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: San Jose, California (Hybrid) Annual salary: USD 140,000 - USD 185,000 Type: Full Time Reports to: VP of Marketing The Role As our Sr. Marketing Manager, Accessories, you will own go-to-market for new Nex Playground accessories and merchandise. That includes travel cases, skins, protectors, mounting solutions, extra cables, and Nex merch and apparel. You'll lead the first phase of every launch: taking new products to market through our direct-to-consumer and e-commerce channels, including Amazon and TikTok Shop. Your job is to prove each product works: real consumer demand, product-market fit, and a healthy margin structure. Once a product is proven, you'll hand it off to our commercial team to scale into retail, with the story and data they need to start early retailer conversations. This role is ideal for a marketer who loves launching products, reads the numbers closely, and can orchestrate many teams toward one clear outcome. What You'll Do Phase 1 Go-to-Market Own end-to-end launch plans for new accessories and merch, from concept through launch and early sales. Develop positioning, messaging, and launch assets that make each product easy to understand and want. Provide input on pricing, bundles, and assortment in partnership with Product and Finance. Orchestrate launches across our D2C store, Amazon, and TikTok Shop. Prove Product-Market Fit Define success metrics before launch, such as demand, conversion, attach rate, ratings and reviews, return rates, and contribution margin. Design and run tests across pricing, bundles, offers, and creative to learn quickly. Build clear recommendations to scale, iterate, or sunset each product based on results. Cross-Functional Orchestration Partner with our growth and performance marketing experts to plan and optimize paid, social, and marketplace programs. Work with Creative, Content, and Social teams on assets for PDPs, TikTok, email, and the Nex website. Coordinate with Product and Operations on launch timing, inventory, and forecasts. Brief and manage vendors and partners for merch and apparel programs as needed. Handoff to Scale Package results, consumer insights, and the sell-in story so our retail management team can begin early retailer conversations. Transition proven products to the commercial team with a repeatable launch playbook. Consumer Insight Bring the voice of the customer into every decision, using reviews, social listening, and community feedback. Identify gaps and opportunities that shape the future accessories roadmap. What You'll Bring Experience 8+ years in product marketing or go-to-market roles for consumer products, ideally in accessories, consumer electronics, gaming, toys, or lifestyle brands. A proven track record of launching products through D2C and Amazon. TikTok Shop or social commerce experience is strongly preferred. Experience with merchandise or apparel programs is a plus. Skills & Strengths Strong commercial acumen across unit economics, pricing, margin, and demand forecasting. Data-driven decision maker who is comfortable with marketplace, e-commerce, and marketing analytics. Excellent writer and storyteller who can make simple products feel compelling. Highly organized, with the ability to run several launches at once. Collaboration & Mindset A natural orchestrator who aligns people without needing direct authority. Test-and-learn mindset, with the judgment to move fast and the discipline to measure. Comfortable in a small, fast-moving environment with evolving priorities. Passion for building products and experiences that families love. What Success Looks Like A clear accessories roadmap that has cross-functional alignment of new accessories and merch that compliment our platform & ecosystem strategy A customer-led insights process that guides and supports key decisions on new products, driven by tangible market and customer research Business plans and GTM plans that are fully documented and positioned for success with sign-off from the leadership team before new accessories move into production and marketing team action around the plan Clear messaging, value proposition, and pricing recommendations for new products that support the business plan/thesis Successful GTM orchestration across multiple internal teams, from the product teams to the marketing communications teams that assemble the creative and deliverables to drive new launches, meet the sales goals, and sustain the business plan Initial learnings in market with a first launch phase of growth to validate the business contribution of the accessory and establish a growth path before broader commercial business development (retail development, international expansion, etc) We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Remote (US, Canada & UK) Workplace: remote Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.   We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies. About the role Our Finance & Analytics team owns the authoritative view of Metabase's business performance, and the opinionated read on what's driving it. Internally, this is used to drive decisions; externally, this is used to meet our obligations to investors, auditors, and tax authorities. We’re looking for a quantitative-minded generalist to lead a portfolio of analytical projects across the business and own an area of finance operations. Your analytical projects will focus on how we measure and understand the broader business: establishing authoritative definitions for key metrics and investigating what’s driving changes in the data. In your operational area, you’ll run the work and build systems that make it reliable and increasingly automated, drawing on external specialists for technical expertise. This isn’t a traditional finance role: we’re a small team of generalists who think in systems, learn unfamiliar domains quickly, and reason through problems from first principles. Responsibilities Leading analytical projects that change how we understand the business. Examples include: Adapting our ARR definition as our business model evolves Evaluating the health of our sales and marketing funnel Finding relationships between product initiatives and expansion or churn Owning a traditional finance domain (such as Accounting or Tax). This will involve a combination of operational work, managing external experts, and evaluating the overall health of the operation Automating the workflows in your domain so our operational and compliance requirements take as little manual effort as possible. Our aspiration is that areas of traditional finance are treated similarly to analytical systems: a set of inputs that are transformed via defined logic to produce a targeted outcome or insight Leading cross-functional projects to tackle operational problems as they arise About you You think in systems: you understand how pieces fit together, build reliable processes, and automate repetitive work You think in terms of numbers and are comfortable in a wide range of analytical domains, whether that’s financial modeling, doing intermediate statistical analysis, reviewing the methodology of external vendors, or transforming raw data. You can spot inconsistencies quickly, and enjoy getting to the right answer. SQL experience strongly preferred (nice-to-have: analytics engineering experience) You know how to use AI to improve efficiency, and enjoy experimenting with novel applications of the technology. Just as importantly, you know the limitations of AI and don't use it as a substitute for your own thinking You learn fast. For example, you don't need to be an accountant, but you can learn the rules of accounting (or other specialist domains) and apply them to day-to-day problems You are adept at managing vendors, building strong relationships, and holding them accountable when needed You have strong organizational skills with a high attention to detail: you enjoy checking items off your checklist, and can seamlessly balance multiple threads of work Minimum 3–5 years experience, preferably in a high-growth startup Strong quantitative undergraduate degree (nice to have: MBA) Based in the US, Canada, or UK Low-ego attitude: no job should be too small or too large Nice-to-have: some familiarity with accounting principles or coursework Compensation The US base salary range for this role is $150K–$200K annually, plus equity and benefits. Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors. Benefits We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment. We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.   For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.   E-Verify Participation Notice (English/Spanish) Right to Work Notice (English/Spanish)