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Hi, we're Oscar. We're hiring a Director, Actuarial to join our Actuarial team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Director, Actuarial, plays an important role in Oscar's actuarial department, leading a skilled team to manage Regional pricing across multiple states, drive strategic decisions and ensure regulatory compliance. Additionally, responsibilities will extend to mentoring and developing Oscar's team of actuaries. This team includes Associate Directors, Managers, and Analysts. Responsibilities will also involve collaborating closely with cross-functional teams in Finance, P&L, Product Development, and others. This actuarial leadership position makes critical actuarial decisions, has ownership of financial estimates and forecasts, and communicates recommendations to senior executives. You will report into the VP, Actuarial. Work Location: This position is fully remote and open to candidates residing in the U.S., excluding Alaska; Delaware; Hawaii; Louisiana; Montana; North Dakota; Oklahoma; West Virginia; Wyoming; and U.S. Territories. Daily work is completed from your home office, with occasional travel required for team meetings and company events. #LI-Remote Pay Transparency: The base pay for this role in the states of California, Connecticut, New Jersey, New York, and Washington is: $198,720 - $260,820 per year. The base pay for this role in all other locations is: $178,848 - $234,738 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses. Responsibilities: Own decision-making responsibilities related to Actuarial methodologies, model enhancements, and business initiatives including but not limited to continually refining Actuarial approaches across the Director's portfolio and the business as a whole. Oversee the end-to-end actuarial pricing processes within a specific portfolio. Promote long-term goals and objectives that guide the strategic direction of the Actuarial function as a whole. Have an in-depth understanding of key financial risks and opportunities within the domain and more broadly across Oscar's business. Apply learnings to guide analytical pricing, prospective pricing strategy, SAE considerations, network strategy, and other unique mitigation strategies. Mentor, coach, and provide Actuarial team members with regular feedback and developmental guidance. Provide an Actuarial viewpoint within cross-functional discussions across finance, P&L, product development, etc. to drive business objectives, insights, and understandings. Lead and shape Oscar Actuarial best practices with respect to automation and documentation. Develop strong relationships, rapport, and lines of communication with both internal and external senior stakeholders. Compliance with all applicable laws and regulations. Other duties as assigned. Requirements: Bachelor's degree in a STEM field, or 4 years commensurate experience. Fellow of the Society of Actuaries (SOA), or on the track to become one. 10+ years of actuarial and/or quantitative analysis experience. Bonus points: Excellent communication, collaboration, and relationship-building skills. Strong understanding of health insurance concepts and nuances. Prior experience leading teams of healthcare actuaries. This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency:  Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy .

Hi, we're Oscar. We're hiring a Customer Service Representative to join our Member and Provider Services team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: This role is a volume-driven customer service and production-based role that handles the daily activities involved in running a health insurance company including customer interactions and back office tasks following standard operating procedures. You will report into the Concierge Operations Manager. Work Location: This is a remote position, open to candidates who reside in Georgia. While your daily work will be completed from your home office, occasional travel may be required for team meetings and company events. #LI-Remote Pay Transparency: The set pay rate for this role is $19.00 - $21.00 per hour. You are also eligible for employee benefits and monthly vacation accrual at a rate of 15 days per year. Responsibilities: Develop a comprehensive understanding of the current processes, procedures, and tools associated with the Oscar business model. Work with members, brokers, providers, and Oscar vendors through multiple channels according to assignment needs Manage an assigned caseload, maintaining service delivery, productivity, and quality expectations Form working relationships with all partners. Support the leadership team by identifying issues through established escalation pathways Monitor and track the health of all assigned work-in-progress issues. Escalate and resolve issues to ensure appropriate turnaround times Participate in process improvement projects Comply with all operational, regulatory, and compliance standards relating to member Personal Health Information (PHI) Compliance with all applicable laws and regulations Other duties as assigned Requirements: 1+ years of experience in a high-volume or customer-focused setting. 6+ Months of healthcare experience High school diploma or GED Bonus points: Strong quantitative or analytical skills focused on identifying or solving problems Must be bilingual in Spanish and English with full professional proficiency in reading, writing, and speaking. Experience manipulating and entering accurate data Advanced Google Suite or Microsoft Office capabilities This is an authentic Oscar Health job opportunity. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency:  Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy .

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's Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world's largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add. We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas: Scaling and infrastructure. Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online. Velocity. The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform. Inference engine. The software between the accelerator kernels and the routing layer that serves every request. Performance. Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance. This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like. Key responsibilities Own the programs that scale Claude's serving fleet across accelerator and cloud platforms, from early direction through delivery. Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path. Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision. Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps. Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic's central Infrastructure org. Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams. Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion. Own inference readiness for model launches alongside our launch TPMs. Minimum qualifications 7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it. Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking. A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly. A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep. The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers. Strong written communication, including plans, reviews, and executive updates that many teams depend on. Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit. Care about Anthropic's mission and about serving frontier AI safely and reliably. Preferred qualifications Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing. Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform. Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services. Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity. Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work. Familiarity with Kubernetes-based orchestration and job scheduling. Experience working with research teams and turning their needs into infrastructure requirements. Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't. 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: $290,000 — $435,000 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. 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.

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 growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We're looking for a Recruiter to join our Talent team based in London to own full-cycle recruiting of our G&A functions (Policy, Finance, Legal, People, and related areas). This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You'll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic's values. You'll work in a fast-moving environment where priorities shift, and you'll have real ownership over the roles you run. We're open to candidates whose strength is in G&A recruiting in your application, tell us where your experience is deepest across the functions. Key Responsibilities Own full-cycle recruiting for a portfolio of G&A roles across EMEA—from intake through offer and close Partner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategies Source and engage high-quality active and passive candidates, building diverse and competitive pipelines Run structured, rigorous, and candidate-centric interview processes that uphold Anthropic's hiring bar Manage candidates through the process with clear communication and a great experience at every stage Collaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to close Use data to track pipeline health and share insight that helps hiring managers make good decisions Minimum Qualifications 6+ years of full-cycle recruiting experience in G&A (Policy, Finance, Legal, People) with a focus on Policy hiring Demonstrated ability to recruit in the UK and European market, with familiarity with local talent dynamics and employment norms Track record of strong stakeholder partnership — building trust quickly with hiring managers in fast-moving environments Comfortable operating with ambiguity: willing to flex between functions and contribute to building something new rather than running an established playbook Proven ability to maintain quality under volume pressure — owns pipeline health, not just pipeline size Self-starter who can work with significant autonomy while staying tightly aligned with global strategy Genuine connection to Anthropic's mission and an understanding of why it matters in a recruiting context Preferred Qualifications Experience recruiting at a high-growth technology, AI, or machine learning company Experience recruiting across both G&A and GTM functions Experience hiring across multiple EMEA markets, including the UK and Ireland Familiarity with Greenhouse or similar ATS platforms Additional European language skills relevant to hiring across the region 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: £105,000 — £145,000 GBP 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. 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.

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 Developers and enterprises build on Claude through the Claude Platform. Our models are getting exponentially more intelligent, and our APIs and developer tools need to evolve just as quickly so developers can take advantage of that intelligence safely. We're hiring Engineering Managers to lead teams that build these APIs and developer tools. We are shipping APIs and infrastructure for building and running agents in production. These APIs ship alongside SDKs, docs, and tooling that developers (and agents!) utilize in order to build high quality integrations. These abstractions are backed by our identity, verification, and trust platform, which lets us scale access to Claude responsibly. Key responsibilities Lead a team of engineers to ship high quality work quickly, owning planning, prioritization, delivery, and operational health Partner with product to set your team's roadmap, and bring a strong point of view on what developers need Talk to customers directly and turn what you learn into engineering priorities Guide API design and architecture decisions for distributed systems that have to stay reliable as usage grows Work closely with Research, Safeguards, Security, and go-to-market teams to bring new model capabilities to developers safely Recruit, coach, and grow strong engineers Minimum qualifications You have experience managing high-performing software engineering teams shipping developer products, including hiring, coaching, and performance management You're product-minded and customer-oriented. You care about who uses what your team builds, and you've shaped roadmaps alongside product partners You've built and scaled distributed systems in production, and you have the technical depth required to guide architecture and API design You've led teams that ship quickly and hold a high quality bar You collaborate well across functions and can align teams you don't manage You care about Anthropic's mission and about developing AI safely Preferred qualifications Experience building agent infrastructure or products on top of LLMs Experience with identity, verification, access control, or trust and safety systems Deadline to apply:  None. Applications will be reviewed on a rolling basis.  Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of 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. 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.

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. Program Overview Some of our world's grand challenges, from resolving long-open problems in mathematics to designing medicines for neglected diseases, require deep expert judgment that today's AI still lacks. We're working toward an AI scientist, a system capable of the long-horizon reasoning and experimental judgment needed to push the frontier on problems like these. We believe frontier AI, developed safely, can meaningfully accelerate progress across science and engineering. Getting there requires close collaboration with people who have spent years at the frontier of their fields. The Anthropic STEM Fellows Program brings researchers and experts from across science and engineering into Anthropic for four months to take on the grand challenges of their fields with Claude. Working in small pods of Fellows from related fields, you will pair deep domain expertise with our frontier models and internal tooling to define the hardest open problems in your discipline, build the datasets and simulations that let us test and train Claude on them, and find exactly where it falls short. We're looking for Fellows across science and engineering. Prior machine learning experience is helpful but not required. Scientific judgment and a willingness to learn quickly matter more. Our first cohort of more than 20 STEM Fellows across mathematics, physics, the life sciences, and engineering, ran from June to September 2026. The problems they built now feed Claude's training and one of our internal science evaluations. What to Expect: A place in a small pod of Fellows working on related problems in your domain. Your pod meets weekly with Anthropic researchers to share methods, pressure-test ideas, and build on each other's work. A grand challenge at the frontier of your field: an ambitious, open-ended problem scoped with our research team so you can make real progress in four months. Access to frontier Claude models and internal evaluation tooling. Compensation:  $100,000–$167,000 USD for the four-month fellowship (equivalent to $300,000–$500,000 USD annualized), and other benefits. Key responsibilities Setting grand challenges for your field: identifying long-horizon open problems where Claude falls short of expert judgment, and defining what real progress on them looks like. Building comprehensive datasets, simulations and rigorous, hard-to-game evaluations that test whether models can plan experiments, interpret data and reason about mechanisms, and systematically finding where they're confidently wrong. Applying Claude to open problems in your domain, using test-time compute strategies and integrating the scientific tools and software your field relies on. Minimum qualifications Are excited about the potential for AI to reason well about hard questions in their field where expert judgment matters. Hands-on experience using Claude and Claude Code in your day-to-day workflow. Hold a PhD in a STEM field and have several years of experience (eg post-doc or faculty). Are comfortable working in a fast-paced, high-agency atmosphere for a few months and delivering concrete results. Existing authorization to work in the United States for the duration of the program. Logistics - Fellows The program runs from January 12th to May 8th 2027 , and is full-time for the duration; some fellowships may be considered for an extension.  Applications are open until October 28, 2026 , and we plan to make offers by November 20th. Later stages will typically include a take-home exercise and conversations with our research team about your research interests and possible project directions. We ask that all Fellows attend a one-week in-person orientation in San Francisco. The default location is in San Francisco. We will consider remote engagements within the United States in certain circumstances. We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the United States. This is a fixed-term contract position. Fellows are engaged through an employer of record, rather than employed directly by Anthropic.       The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program.       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. 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.

About the Role The main role of a Navan Pro Consultant is to build relationships and understand the needs of our client's while delivering a 'high touch' service that saves clients time and drives down their total cost of travel. What you'll do Service Expectation Provide a dedicated, consistently high level of service to all clients tailored to their individual requirements with a desire to always exceed client expectation. Effectively manage your workload to meet all deadlines as required, either set by the client or within R&M Ability and willingness to service different client industry sectors across the wider business Demonstrate innovative thinking and provide a consultative approach To be proficient in R&M and Navan Technology, sharing knowledge with the client to ensure an all-encompassing service To be responsible for the delivery of all air, rail, car rental, ferry, black car and charter reservations and to advise clients on best practice utilising R&M and Navan technology Operational Excellence Manage your own full client portfolio to the highest R&M and Navan standard, demonstrating extraordinary customer service to your wider team Pro-actively build meaningful and long-lasting relationships both internally and externally Always exceed client's expectation Identify and implement opportunity to add value to each booking Ability to apply a variety of fare types and ticketing methods, whilst maintaining an up-to-date knowledge of industry innovations (e.g., airline direct connect) Working with IFD (International Fares Desk) to proactively identify cross market and local inventory differences Procure the best hotel rates for clients utilising GDS and non GDS channels, as well as leveraging supplier relationships to gain the best result Monitor all bookings for further saving opportunities up until completion of the trip Utilise detailed understanding of the client policy to drive compliance whilst maximising opportunity to enhance the traveller experience Ability to apply a variety of fare types and ticketing methods, whilst maintaining an up-to-date knowledge of industry innovations (e.g., airline direct connect) Monitor all bookings for further saving opportunities up until completion of the trip To be proficient in all R&M and Navan Technology and to ensure knowledge is shared and maintained amongst the team To oversee the client experience by utilising mixed mode booking tools and to provide 1st line support for both offline/online bookings Demonstrate proactive thinking when providing travel solutions Able to provide cost effective solutions across all aspects of travel To always comply with the client policies and guidelines Achieve SLAs for all accounts Regular interaction with overseas colleagues Apply Quality Control procedures and processes in line with company and GREC requirements What We're Looking For Previous VIP experience is preferred Skills assessment results will be considered Exceptional telephone manner and written skills Demonstrate ability to make effective use of resources available to complete tasks to agreed deadlines Has a proven record of experience in a core business travel environment Fully conversant with one or all GDS systems; Sabre, Galileo, Amadeus Experience of mixed mode booking tools, and 1st line product support for both offline/online bookings Comprehensive knowledge of the travel industry and products in the market including different aircraft types and cabins Knowledge of Low-Cost Carriers in the market and their different products available Fully conversant with various rail, black car, LCC, OTA booking systems Have a 'team player' approach to an office environment Experience in using MS software packages Ability to build an exceptional rapport with all clients Excellent attention to detail Have an enthusiastic approach and willingness to learn attitude Independently commit to attend and complete all relevant training Achieve individual and team-based business objectives Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers. Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application. Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here . Your decision to do so will not affect how your candidacy is evaluated. Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

GiveDirectly has delivered more than $1B in cash directly to 2+ million people living in poverty across 15 countries since 2011. We believe cash transfers are one of the most scalable, cost-effective, and dignified forms of aid, with the research to back it up. Our work has been covered by The Economist , NPR , TED , and The Washington Post . We are one of Time100's Most Influential Companies of 2026. We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. Our culture is candid, analytical, and non-hierarchical. We support high ownership and real professional growth. Curious about what it's really like to work here? Read our values and hear from the people who do . If they resonate, this could be a great fit! About This Role GiveDirectly is scaling its emergency response operations to reach more people, faster, with cash in the wake of crises. As a Senior Manager on the Delivery team, you will play a key role in building team capacity, strengthening response systems, and ensuring GiveDirectly can deploy effectively at scale. You will mentor and develop Delivery Managers and surge roster members, contribute to the strategic direction of the team, and serve in assigned functional roles during responses. This role does not currently carry direct line management responsibility, though this may be added as the team scales. Senior Managers should be able to: Understand and clearly communicate about the market/landscape and GiveDirectly's value proposition in their domain and across domains Mentor teams and contribute to resource planning to develop individual members Oversee excellence in design and implementation, with a constant drive to improve, iterate, and learn What You'll Do Support and Develop High-Performing Teams Mentor and train Delivery Managers and surge roster members on response systems, tools, and operational best practices, building long-term capacity across the team Participate in the evaluation of the team's learning opportunities and contribute to the professional development of individual team members with key performance indicators Support quality assurance across responses, providing expertise and guidance to ensure consistent operational standards Contribute to the strategic vision and direction of the Delivery team, in coordination with the Delivery Director Support broader surge roster readiness, including onboarding and preparing internal and external surge staff for deployment Strengthen Response Systems and Capabilities Support steady-state work as assigned by the Delivery Director, including development of tools, protocols, and documentation Contribute to the development and continuous improvement of operational tools and protocols to accelerate readiness across a growing number of countries Conduct operational diligence and feasibility inputs for potential responses, in coordination with the Delivery Director Define, track, and report on operational efficiency metrics to support performance management and continuous improvement During responses, serve in an assigned functional role as directed by the Delivery Director Support Fundraising and External Representation Translate field learnings and operational experience into inputs for donor proposals, updates, and campaign materials, in coordination with the Fundraising team Represent GiveDirectly at external and internal forums as assigned, including media engagements as necessary Staff Emergency Cash Responses Deploy on short notice to implement Emergency Cash crisis response programs When deployed or remote: supervise program implementation, test approaches and tools, drive program design, liaise with local authorities and other response actors, and ensure excellent communication and documentation during responses When deployed: conduct field assessments, coordinate field logistics, and ensure the safety and security of the deployed team What You'll Bring Alignment with GiveDirectly values: exceptional alignment with values and an active demonstration of our core competencies — emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity 5–7+ years of experience: in a role focused on problem solving, team management, cross-functional collaboration and/or new business development. Prior humanitarian/emergency experience strongly preferred 5+ years of experience: working in difficult settings, including low-resource and high-insecurity contexts 3–5+ years of experience: providing direct mentoring or coaching to teams, with the ability to assess strengths and opportunities for improvement, as well as measure performance growth Analytical problem solving: looks at problems with an analytical and iterative mindset, with a strong framework for prioritization and the ability to bring structure and process to ambiguous problems Strong project management skills: the ability to manage multiple workstreams, prioritize and explicitly deprioritize, and hold a high quality bar Strong technical skills: including data analysis and ease with learning new third-party tech platforms and tools Fundraising: preference for candidates with a strong partnership and relationship-management background Strong communication skills: skilled in speaking, writing, presenting, and negotiating across multiple stakeholders Enthusiasm for fast-paced environments: which may lack a pre-defined playbook for success and involve significant "learning by doing." Comfort with ambiguity and building systems from scratch Language Requirement: English (professional fluency) Language Preference: Additional proficiency in French, Portuguese, Arabic, or other languages is a plus Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third-party salary aggregator to ensure that staff's total compensation package (base compensation + bonus) falls within the 75th percentile of similar roles, at similar organizations. We also have a no-negotiation policy to ensure we are paying staff equitably across roles. United States Base Salary: $115,000 Bonus at Target Performance: 10% (~$11,500, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be $13,455 in 2025) Estimated Total Compensation at Target: $126,500+ Annual Benefits Stipend: $21,393 United Kingdom Base Salary: £73,900 Bonus at Target Performance: 10% (~£7,390, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be £8,646 in 2025) Estimated Total Compensation at Target: £81,290+ Annual Benefits Stipend: £2,760 Kenya Base Salary: $79,825 Bonus at Target Performance: 10% (~$7,983, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be $9,340 in 2025) Estimated Total Compensation at Target: $87,808+ Annual Benefits Stipend: $8,453 If you are not based in the US or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person's race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of "zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation." and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject "Accommodation Needed". We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Background Nash powers the logistics infrastructure behind some of the most recognizable brands in commerce, including Walmart, Urban Outfitters, and 7-Eleven, along with platforms like Shopify and Toast. We are scaling fast, the category is forming around us, and we are building the product marketing function from scratch. We're hiring our first Product Marketing Lead to own positioning, narrative, launches, and the strategic voice of the platform that is becoming foundational to modern commerce. The Role This is the strategic seat where positioning, narrative, customer truth, competitive worldview, and launch craft come together. It is also where the next chapter of Nash's product strategy is shaped. Product marketing can take many different forms in different organizations... It can be a function to spit out whitepapers and datasheets, a megaphone for product management, or… it can be something very different: a force multiplier for the whole organization. We're looking for the latter. You'll report directly to our Chief Growth Officer (whose career has been building and leading marketing, growth, and product organizations at companies like Twilio, Plaid, and Salesforce). You'll work as a peer to our Product Team, and alongside our CEO, our CTO, and a small, senior, fast-moving cross-functional group across product, engineering, sales, and growth. The bar for taste, craft, and strategic thinking on this team is high, and the trajectory for someone strong in this seat is significant. How We Think About PMM The best PMMs sit at the intersection of three rare skills: technical curiosity, business acumen, and creativity. You don't need to be a coder, but you need to understand technical implementation, tradeoffs, and be able to talk to a technical audience credibly enough to know what they'll ask next. You don't need to be a salesperson, but you need to read buying behavior, understand the worldview of the decision-maker, and articulate the value of the problem we're resolving (not the value of our product). You talk in the language of the customer, not the language of our company. You don't need to be a designer or a copywriter, but you need to write narratives with emotional resonance, position with clear differentiation, and find the experiment, the data, or the execution model that actually moves the needle. The skills are hard enough to find in one person. The harder bar is what you do with them. Great PMM teams are not measured on what they did. They are measured on what they got the company to achieve together. They don't ask the org to enable them. They enable the org. They earn strategic influence by inspiring the company with a common vision, and then get the whole company pulling together in the same direction. How We Work: AI-Native, By Default Product marketing at Nash is AI-native and builder-led. We're looking for a PMM who has fundamentally rewired their workflow around AI, not someone who occasionally uses ChatGPT to clean up an email. Someone who reaches for Claude, Claude Code, Claude Cowork, Replit, and whatever ships next week as instinctively as they reach for a Google doc. The reason is straightforward: the speed and surface area of what one product marketer can produce has changed by an order of magnitude in the last eighteen months. Customer interview synthesis, competitive teardowns, narrative iteration, message testing at scale, launch asset production, sales enablement, internal narrative documents: every loop has compressed. We want someone who feels that in their bones and uses it to compound their craft, not replace it. We still deeply value the soul, the originality, the conviction, and the taste that can only come from a real product marketer who has actually sat with hundreds of customers and built a worldview. But we need to pair that with the velocity AI brings, so insight reaches the org and the market while it still matters. In practice this looks like having Claude synthesize forty customer calls into the real patterns (and dampening the lone noisy ones) before you write the narrative, running ten message variants against synthetic personas before you brief the real ones, prototyping a launch landing page in Replit on the same day you finalize the positioning, building a competitive intel system that updates itself, and treating prompt craft, model choice, and tool-chaining as part of your PMM practice. If your reaction to a new AI tool is curiosity and a Saturday afternoon experiment, you'll fit here. If you believe AI will never replace , you probably won't. What You'll Do - Own Nash's positioning and narrative across audiences: enterprise retailers, grocers, pharmacies, restaurants, healthcare, platforms, partners, and the broader category we're shaping - Lead launches end to end, from shaping what gets built and when, through messaging, assets, sales enablement, and post-launch measurement of whether the launch actually moved the business - Be the most authoritative voice on the customer inside Nash. Distill the full breadth of customer signal into the patterns that matter, so Product can build against truth and Sales can sell against reality - Own competitive intelligence: a living worldview on every competitor that matters, refreshed continuously, that a Sales rep can use in a deal at 4pm on a Friday - Build the launch system itself (the cadence, the rituals, the templates, the prompts, the playbooks) so each launch compounds rather than getting reinvented - Partner with Sales as a strategic peer. Be the deepest student of our market, our buyers, and the problems they're actually trying to solve, and the best teacher of it across the org. But also build the system so your knowledge scales without you: living competitive intel, talk tracks grounded in real customer signal, enablement that a rep can pull from at 4pm on a Friday without pinging anyone. The best PMM isn't the one who answers every ping. It's the one who built the system that made most of them unnecessary. - Partner with Product as a peer. Challenge the roadmap with customer signal, shape what we build, not just how we describe it - Equip the org. Pricing, packaging, deal desk, content, web, sales plays: make Nash collectively faster and sharper at every customer touchpoint - Build and grow the PMM function over time as Nash scales Requirements - 8+ years in product marketing or adjacent roles, with shipped work at a high-growth B2B technology company that you can defend in detail (the decisions, the tradeoffs, the outcomes) - Demonstrated ability to operate at the intersection of technical, business, and creative, not just one of the three - Has owned positioning and launches for a complex platform product (infrastructure, fintech, devtools, data, logistics) where the buyer is technical and the stakes are real - Active, daily use of Claude (or equivalent LLM) and AI prototyping tools like Replit as the core of your workflow of how you actually get things done, not just a copy editing tool. - Strong narrative and writing craft. You can hold a worldview in your head and turn it into copy that sticks - Comfortable in the data. Funnel, deal, pipeline, win/loss; happy to sit in a CRM and pull the truth yourself rather than wait for a dashboard - Customer-obsessed. You measure your week by how many real customer conversations you had, not how many decks you produced - Strong opinions, communicated clearly, updated quickly when the evidence changes - Has built or scaled a PMM function before, or is genuinely ready to do so for the first time - Bonus: prior experience in logistics, commerce infrastructure, or B2B platforms with a technical buyer; time spent as a PM or in a customer-facing role earlier in your career; built and shipped your own side project using AI tools - Location: Hybrid remote/in-office, Bay Area preferred, Fully remote considered for right candidate. How to Apply Send us your resume, a portfolio or links to launches and positioning work you've owned, and a short note on the launch or narrative you're most proud of and why. If you'd rather skip the cover letter and send a Loom walking us through a piece of work, or a Replit prototype of the Nash homepage you'd build instead of ours, that is very much encouraged. Want to grab our attention and bypass the Recruiting platform? Record a video introducing yourself at testimonials.nash.ai with code JOIN-NASH - you'll get the benefit of your application instantly notifying us via Slack, and we'll get some much needed testing coverage on our latest PMM-focused claude build:) More about Nash Nash is the platform that powers modern logistics. Commerce has inverted. For decades, customers came to where products and services were. Now products and services come to them, on their terms, in real time. That shift has turned every company into a logistics company, even though almost none of them were built to be one. Couriers, fleets, gig workers, parcel carriers, in-store labor, and increasingly autonomous systems all have to be coordinated in real time, against tighter windows and rising expectations, with hard-fought customer trust on the line. Nash unifies decisioning, execution, and capacity into a single programmable platform. Real-time, AI-native intelligence determines what should happen, operational control executes it, and the platform dynamically orchestrates capacity from any source: a company's own fleets, partners, or the Nash delivery network. Whether a job involves a courier, a gig driver, an internal fleet, a store employee, a technician, or an autonomous vehicle, Nash selects the right resource and manages execution through completion. We power delivery and logistics for some of the most recognizable brands in commerce, including Walmart, Urban Outfitters, 7-Eleven, and Woolworths, alongside platforms like Shopify and Toast. Over the next decade, logistics will become as foundational to commerce as payments, cloud, and connectivity. Nash is the platform that powers it. Nash was founded in 2021 by Mahmoud Ghulman (2x Founder, MIT) and Aziz Alghunaim (2x Founder, 2x YC, Ex-Palantir, MIT) and is backed by Y Combinator, a16z, and other top investors. We are headquartered in San Francisco. What You'll Love About Us ✅ Early-stage, well-funded startup – directly impact the company and grow your career! ✅ Quarterly broader team on-sites to bond with teammates ✅ Competitive compensation and opportunity for equity ✅ Flexible paid time off ✅ Health, dental, and vision insurance for US employees

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are considering candidates in Germany, Sweden, Spain, Ireland and the UK only. The opportunity: Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it. What is the Ingest team? We build and maintain the configuration and deployment tooling that bridges the gap between "I want observability" and "I have observability,". To achieve this the team owns Fleet Management , the Kubernetes Monitoring Helm Chart , and the Instrumentation Hub . Fleet Management is the cloud-based central control plane our customers use to manage hundreds of thousands of Observability Collectors in the wild. The Kubernetes Monitoring Helm Chart is used to effectively deploy Observability Collection in Kubernetes based environments. The Instrumentation Hub seamlessly combines Fleet Management and the Kubernetes Monitoring Helm Chart to achieve a magic 1-command instrumentation experience. What You'll Be Doing: Manage and develop the team of backend and frontend engineers, providing regular feedback and supporting each person's growth through career conversations. This is a remote team, distributed between EMEA and NASA. Collaborate closely with go-to-market to ensure customers and prospects are successful with their Observability collection journey. Work closely with product and engineering leadership to ensure Fleet Management, the Kubernetes Helm Chart, and the Instrumentation Hub fit seamlessly into the end-to-end user experience for Grafana cloud products. Provide guidance throughout the project lifecycle from early ideation through planning, execution and post‑launch guiding the team to deliver high‑quality results consistently. Foster a psychologically safe environment where engineers can learn, experiment and iterate quickly, encouraging innovation and a culture of continuous improvement. Work across team boundaries by contributing to projects outside your team's scope and partnering with other functions to solve customer problems. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What Makes You a Great Fit: Experience in either of these areas is a strong advantage: Observability (especially OpenTelemetry), or building a central control plane that manages fleets of collectors. You will be comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, be it technical or product focused. While you're great with people and adept at managing relationships, you still keep up-to-date with the latest technical trends and shifts in order to maintain and enhance your understanding of the challenges your teams face. Comfortable collaborating across time zones and cultures in a fully remote environment, using clear, empathetic communication to build trust, connection, and psychological safety. Demonstrated ability to manage complexity, align stakeholders, and elevate team performance to deliver meaningful, high-quality results. Deeply customer-focused, consistently grounding decisions and technical choices in user needs and real-world impact. Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, and observability. Comfort with AI-assisted tooling. We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered tools and ideally have practical experience folding them into a team's workflow. Compensation & Rewards: In the UK, the Base compensation range for this role is GBP 103,000 - GBP 129,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market's defined pay range & benefits at the beginning of the process. Why You'll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new 'Grafanistas' to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you've applied to a job, check out our privacy policy .

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. Grafana Labs is looking for a Enterprise Account Executive, Acquisition who will be responsible for prospecting and closing new business across the Florida region. You will identify, nurture and close opportunities with new customers, manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Growth team. Ideally, you come from a technical background and have sold technical products before. Responsibilities Meet and exceed individual quarterly and annual sales goals Outbound prospecting into net-new customers Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, and negotiations) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests Requirements 5+ Years of Experience in Infrastructure Technology Sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies Familiarity with open source technology is a significant advantage You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Bonus Points For: Experience using Salesforce Experience using Command of the Message and MEDD(P)ICC is ideal In the US, the OTE compensation range for this role is $260,000 - $300,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market's defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market's defined pay range & benefits at the beginning of the process. Why You'll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new 'Grafanistas' to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you've applied to a job, check out our privacy policy .

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that's founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada's Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey. Join us in redefining healthcare — so it doesn't just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn . **Travel to Office expectations** For Remote Roles : If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings. For Hybrid Roles : If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Position Summary: We are looking for a seasoned Sr. Solutions Analyst who has worked with SaaS software. Your focus is on providing an exceptional customer experience while handling complex technical queries and complaints for our cloud-based healthcare solutions. We are looking for someone who can prioritize daily tasks to resolve customer problems, independently or with others, in a timely manner using various communication channels. To do well in this role you need to be able to remain calm while trouble-shooting complex system issues with customers. As well, a strong understanding of administrative tasks and workflows for long term care and medical facilities is crucial to your success. Reporting to the Sr Manager, Customer Support Key Duties and Responsibilities Provide world class customer support and produce successful outcomes for clients with pressing challenges relating to administration, configuration, and utilization the application. Develop an in-depth understanding of our cloud-based software to support processes and patient care in long term care facilities. Facilitate the resolution of complex technical issues by way of log analysis, research, or problem recreation. Work cross-functionally within the organization, to deliver quality, satisfaction, and resolutions to customers. Effectively use and search the knowledge base, consistently contributing new or updated superior quality content. Enhance, advocate, and exemplify KCS methodologies in addition to authoring and updating knowledgebase content. Works to frequently exceed established service delivery guidelines and key performance indicators. Mentor less experienced team members on trouble shooting SaaS products, customer support best practices, and internal processes. Thoroughly document problems via phone, email, chat, and web portal to accurately record the issue, investigative steps, and resolution using our help desk ticketing system. Be available to work rotating shifts between 8am to 8pm EST on weekdays with an occasional need for scheduled overtime on weekends and holidays as determined by business need. Skills and Qualifications: Understand the business processes and practices within a long-term care or medical facility. Formalized approach to problem-solving, certification in RCA an asset . Excellent communication skills, written and oral with acumen for conveying complex concepts to a variety of audiences. Energized and motivated by a fast paced, dynamic, high demand working environment. Demonstrated ability to multi-task, prioritize, and manage customer expectations. Ability to quickly learn more complicated aspects of new software functionality, emerging products, and systems that support them. A patient and active listener who is detail-oriented. High level of customer focus and empathy. Prior experience using the PointClickCare application is required. Required Experience Experience using/supporting PointClickCare 1-2 years practical experience supporting and trouble-shooting web-based software applications Experience using diagnostic tools to help resolve customer issues Experience in Care Delivery, Care Coordination, Business Intelligence, or Financial Performance for either Skilled Nursing, Senior Living, Home Health, or Acute Care facilities Bachelors Degree or post-secondary schooling is preferred Compensation At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $65000- $72,000 Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process. Overtime Eligible Additional Information #Remote #MG-LI1 #Canada PointClickCare Benefits & Perks: Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more! It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment. When you apply for a position, your information is processed and stored with Lever, in accordance with Lever's Privacy Policy . We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare's human resources team: recruitment@pointclickcare.com PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.