Вакансии

You'll build the models behind those decisions. Plan the factory.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Brand and Communications Team Brand & Communications shapes how the world understands Affirm and how Affirm shows up in it. We meet people where perception forms: in culture, in the press, across our owned and paid channels, and inside the company. We aim to make our work compound over time, moving at the speed of culture while holding a high bar for craft and clarity. Our job across comms, brand, creative, and social is to make Affirm a brand people trust and are proud to choose. About the Role Affirm's model only works when consumers succeed. No late fees. The full cost, known before you commit. A balance that ends. Many people don't know that. Pay-over-time products are treated as interchangeable, and the revolving credit card is treated as the responsible default. We want to change this dynamic and evolve thinking and beliefs around what consumer-friendly credit can and should be as it modernizes. The timing is the opportunity. Credit is being rewritten right now, in regulation, in coverage, and in how people talk about debt. The beliefs that settle over the next few years will shape the decades that follow. This role focuses on the people who shape what the public understands about credit, the ones creating the coverage and content that drives the conversation. You know who covers what, who matters beyond their outlet’s size, which newsletter a Hill staffer reads before the front page. And you know how to proactively build an argument that travels. The policymakers, regulators, and advocates who set the terms will use it, and the most skeptical reporter will want to write it. You won’t be doing it alone. You’ll collaborate with colleagues who own the narrative you’re carrying, the research behind it, and the versions of this story told to consumers, merchants, and investors. You’ll also partner closely with a policy team that owns our government relationships and the positions we take. And because this story has to build across audiences and surfaces, you’ll help shape the broader brand and comms strategy rather than only drawing from it. This story lives at the nexus of New York City and Washington, DC, so you can be based in either with regular time in the other. What You'll Do Develop the strategy and run the campaign. Decide what we’re trying to change, with whom, and in what order. Set the sequence, pick the moments, and know what each one is supposed to do. Shift the dynamic from an idea we’re explaining to language other people naturally use. Shape what becomes news. Be in the conversations where people are deciding what to cover and what counts as news, weaving Affirm into them rather than reacting to them. Build the proof. Help shape original consumer research and third-party data into evidence that lets people outside Affirm make the argument correctly and persuasively without us in the room. Build the media bench. Earn the trust of a focused group of reporters, columnists, editors, producers, podcasters, and independent writers who shape consumer finance and policy conversations, and become the source they come back to, including on stories that aren’t about us. Partner on outside voices. Work with our public affairs and government relations team to build lasting relationships with consumer advocates, academics, and credit experts, starting with listening rather than endorsement requests. Design the dinners, briefings, and roundtables where the right people meet each other and the argument gets pressure-tested in person. Put our perspective where decisions get made. Prepare executives and credible outside spokespeople for the moments that matter, from op-eds to panels and interviews, and work with public affairs so the arguments and themes we care about reach policymakers, regulators, and the people who advise them. Know whether it is working. Track whether the argument is actually showing up: in how reporters frame the category, in the language advocates and policymakers use, in earned sentiment. Bring the honest read, including when a tactic is visible but not moving anything. What We Look For Campaign mindset: You think in arcs rather than announcements, built around the forces that actually shape the public conversation, and you know it’s landing when others start making the argument without you. Media relationships and craft: 12+ years in communications, with real relationships across policy, business, and tech media, and a track record running complicated press strategies end to end, including complex or sticky situations. Policy communications experience: You’ve run communications on policy issues, whether in advocacy, regulatory affairs, a political campaign, or a public affairs practice. You understand how an issue actually gets decided, who moves it, and how long it takes. A connector: You keep relationships across the worlds you work in and put people together because it’s useful to them, not only when it serves you. Proactive instinct: A bias for creating the story rather than chasing it, an eye for using moments others create, and the tenacity to stay with a good idea past the first no. Appetite for a complicated subject: You don’t need a credit background. You need to get deep on underwriting, disclosure, and the credit system, and then explain it in plain language. Sharp, persuasive writing: The ability to build an argument that carries, clear, accurate, and convincing to someone who starts out skeptical. Sound judgment: Steadiness in high-stakes, high-visibility moments, and the discipline to act quickly without putting trust at risk. Collaborative partnership: Strong working relationships across Comms, Brand, Public Affairs, Legal, and Marketing, and the desire to make other people’s work better and not only your own. Belief that transparency is an advantage: You think clarity and accountability are brand advantages, not compliance requirements. While Affirm is a remote-first company, the nature of this position requires candidates to be based in New York City or Washington, DC (or the surrounding area), or be willing to relocate to either location before their start date. Pay Grade - M Equity Grade - 10 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (NY, NJ, CT) per year: $185,000 - $245,000 USA base pay range (all other U.S. states) per year: $164,000 - $224,000 Please note that visa sponsorship is not available for this position. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier. We're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely. To achieve these goals, we're seeking exceptional machine learning researchers with deep expertise in training and evaluating frontier models. In this role, you'll work end to end across the model stack, developing training environments, rewards, data, and evaluations that measure and improve Claude's performance on complex engineering and scientific tasks, and carrying what works into production training runs. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and that learn from real-world feedback. A background in engineering or the sciences is a plus but not required. Key responsibilities Design, build, and study reinforcement learning environments, rewards, and training data that improve Claude's capabilities in engineering and the applied sciences Create benchmarks and evaluation frameworks that measure model performance on realistic engineering and scientific workflows Develop simulation-based training environments and verifiers, working with domain experts to validate them against real-world data Develop approaches to long-horizon task completion, multi-agent collaboration, and complex reasoning essential for real engineering and research work Research how models can learn efficiently from experiments and real-world feedback Study how environments and rewards behave in large-scale training, including robustness, calibration, and generalization, so that training produces models that are both capable and well aligned Scale research ideas from prototype to production training runs Collaborate with domain experts and industry partners to build and test what Claude invents, designs, and engineers, and turn that feedback into training and evaluation signal Help chart how Claude’s engineering capabilities reach real-world use: where they matter most, what stands in the way of adoption, and how that should shape research priorities Minimum qualifications Proficiency in Python and hands-on experience with a modern machine learning framework such as PyTorch or JAX Hands-on experience training or evaluating machine learning models Track record of machine learning research: forming hypotheses, designing and running experiments, and drawing sound conclusions from the results Ability to implement your own research ideas and diagnose problems in complex systems Ability to learn unfamiliar technical fields quickly and work productively with experts in them Clear communication and a collaborative approach to solving problems Excitement about improving Claude’s scientific capabilities and the downstream impact on science and technology Commitment to developing AI that is safe and beneficial Preferred qualifications Experience with reinforcement learning and pre-training on large language models, including environment and reward design Familiarity with large-scale language model training, evaluation, and inference pipelines Published research or practical experience in AI for science or engineering, or in long-horizon reasoning A degree or work experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, systems, or manufacturing engineering, applied physics, or computational simulation Experience building simulators, surrogate models, or simulation-based environments and verifiers, and calibrating and validating them against real-world data Experience with large-scale data pipelines and technical or multimodal datasets Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, United Kingdom Workplace: hybrid Take the Next Step in Your Finance Career Are you a newly or recently qualified accountant ready to take on greater responsibility and broaden your commercial finance experience? FutureLearn is looking for a Finance Manager to take ownership of key areas of our finance function, from month-end and management reporting to budgeting, tax, international accounting and finance transformation. You will have the opportunity to work closely with senior finance leadership and our offshore finance team, to develop your experience while helping improve processes, controls, systems and automation. About FutureLearn At FutureLearn, we’re passionate about the power of lifelong learning. We help learners from all over the world progress in their careers – and invest in their futures. We truly believe that up-skilling is a worthy investment, and we hope to empower our learners to take control of their careers through personalised learning pathways – giving them progress at their fingertips. Partnering with 260+ world-class educational partners, including prestigious universities, global brands and industry partners, we offer our 20 million-strong learner community the opportunity to discover and access flexible, high-quality online courses and degrees. We’re not here just to teach new skills (although we do that well), we want to help transform lives. FutureLearn is looking to build our teams with people who share our passion for lifelong learning, career empowerment and education for all. If that sounds like you, get in touch. You could help us achieve our biggest goal yet – becoming the world’s best AI-powered, career-based learning platform and OPM. About the Role As Finance Manager, you’ll play a key role in delivering accurate financial reporting while providing meaningful insight to stakeholders across the business. You’ll take ownership of month-end, support budgeting and forecasting, work with our international entities and contribute to projects focused on systems, automation and improving how Finance operates. Key Responsibilities You will: Own the month-end close, management accounts, journals and balance sheet reconciliations. Manage and review work completed by our offshore finance team. Prepare statutory accounts and support the external audit. Maintain strong financial controls and processes. Produce monthly KPI and management reporting. Support budgeting, forecasting and cash-flow management. Support intercompany accounting and international entity consolidation. Assist with VAT, corporation tax and international tax matters. Partner with stakeholders to provide financial insight. Support systems improvements, automation, AI initiatives and other finance projects. About You We are looking for an ambitious finance professional ready to build on their technical accounting experience. Essential Requirements Newly or recently qualified ACA, ACCA or CIMA accountant. Strong knowledge of IFRS and/or UK GAAP. Good understanding of month-end, reconciliations and financial reporting. Strong analytical and Excel skills. Experience reviewing junior team members' work and improving processes. Confidence communicating financial information to non-finance stakeholders. Excellent attention to detail and ability to manage competing deadlines. Proactive, curious and keen to continue developing. Desirable Experience with Xero and/or AI-enabled finance solutions. Knowledge of VAT, corporation tax or international tax. Experience within tech, edtech or a fast-growing business. Exposure to multi-entity or intercompany accounting. Experience working with junior team members and supporting them when required. ✅ Take the next step after qualifying and gain greater ownership. ✅ Develop experience across reporting, commercial finance, tax and international operations. ✅ Work closely with senior finance leaders and stakeholders. ✅ Contribute to automation, AI and finance transformation projects. ✅ Join a purpose-led, global education technology business. What We Offer 28 days' annual leave plus UK public holidays. Holiday buy, sell and rollover options. Westfield Health Cash Plan. Personal recharge days. Calm Premium subscription. Cycle to Work Scheme. Season Ticket Loan. One paid charity day each year. Career Development This is a great opportunity for a recently qualified accountant to build broader commercial and technical experience, with exposure to financial reporting, FP&A, tax, international finance and transformation. The experience gained could support future progression into roles such as Senior Finance Manager, Financial Controller, Commercial Finance Manager or Head of Finance. Apply Now If you’re a newly or recently qualified ACA, ACCA or CIMA accountant looking for greater ownership, variety and career development, we’d love to hear from you. Apply now and take the next step in your finance career with FutureLearn. Recruitment Process Please contact jobs@futurelearn.com if you require any reasonable adjustments or alterations to be made to support you through the recruitment process. Diversity Statement We value all the great benefits that diversity brings and encourage everyone to bring their whole self to work – At FutureLearn we are proud to have Diversity and Inclusion at the centre of everything we do. We are committed to Equal Employment Opportunity regardless of race, colour, national origin, ethnicity, gender, age, disability, sexual orientation, gender identity or religion. We can't wait to meet you! #FutureLearnCareers

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier. We're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely. We're seeking exceptional researchers with deep expertise in one or more of these areas. In this role, you'll work at the intersection of frontier AI and your field, developing rigorous methods to measure and improve Claude's performance on complex engineering and scientific tasks. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and to test Claude's designs against real-world feedback. Key responsibilities Design and implement evaluation methodologies for assessing AI model capabilities relevant to engineering and applied science research and applications Design realistic tasks and training environments, and curate data from your field Develop and validate simulations and computational tools for your field, and calibrate them against real-world data Work with industry partners, manufacturers, and labs to build and test what Claude invents, designs, and engineers, and bring that real-world feedback into evaluation and training Think through how Claude's engineering capabilities can permeate the real world: where they can have the most impact across industry and research, and what it takes to get them adopted Advise the team on which problems, tools, and workflows matter most in your field Collaborate with domain experts and partners to establish benchmarks and gather high-quality data for training Translate between engineering domain knowledge and machine learning objectives Minimum qualifications Deep expertise and hands-on R&D or industry experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, structural, industrial, or manufacturing engineering; applied physics; computational simulation Experience with AI or machine learning, whether evaluating and training AI systems or applying these tools in your field Track record of taking work from concept through to a working result, such as a product, process, device, experiment, or tool Hands-on proficiency with the computational design, analysis, or simulation tools used in your field Basic programming proficiency, for example in Python Ability to navigate ambiguity and develop solutions in a rapidly evolving research environment Ability to work independently while collaborating closely with cross-functional teams, and to explain your field clearly to people outside it Commitment to using AI to accelerate engineering and scientific progress while maintaining high ethical standards Preferred qualifications 5+ years of hands-on R&D or industry experience in an engineering or applied science discipline Ph.D. in an engineering or applied science field, or equivalent industry experience Industry experience in product design and manufacturing, or in developing engineering or scientific simulation software Breadth across more than one discipline, or across several stages of the path from design to production Familiarity with modern AI model training methods Track record of building high-fidelity solvers or simulation engines that were validated against real-world data and used in practice Experience working with manufacturers, vendors, contract research organizations, or academic labs Experience managing data pipelines and working with large-scale technical datasets Publications, patents, or contributions to open-source scientific or engineering software The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 Anthropic's sales organization is growing quickly across segments, industries, and geographies, and enablement needs to be reinvented to keep up. We are looking for a Head of Enablement Experience & Innovation to build the next generation of enablement with a Claude-first approach: hyper-personalized for each seller, delivered in the flow of work, and measured by what it changes. Most sales enablement still runs on courses, content libraries, and one-size-fits-all programs. You will start instead from what Claude makes possible: understanding what sellers need, designing experiences around their role, tenure, and live deals, and bringing the right guidance into the tools where they already work. This is a rare chance to define what enablement looks like when it is built on the product we sell. This is a leadership role for an innovator with deep expertise in using AI for enablement and a background in user experience design, product management, or workflow design. You have shipped experiences at scale and can show that people used them and performed better. You will start as an individual contributor, set direction, and build a team over time, staying close enough to the field to know when something is not working. Key responsibilities: Set the vision and roadmap for a Claude-first approach to enablement, deciding what to build, what to retire, and how enablement is designed and delivered Use Claude to tailor learning to each seller's role, tenure, and live deals Design workflows that bring guidance to sellers in the tools they already use, at the moment they need it Lead the learning platform, enablement tools, playbooks, and content hub, using Claude to keep knowledge accurate, current, and easy to find Run enablement like a product: lead discovery with sellers and sales leaders, work with engineering and design, and test on live deals before scaling Track adoption and the impact on ramp time, win rate, and attainment, and act on what the data shows Partner with Sales Leadership, Revenue Operations, Product, Marketing, and the wider Sales Enablement team so that programs, systems, and workflows feel like one experience Run fast experiments with new Claude capabilities, scale what works, and set clear standards for responsible AI use and data governance in enablement Minimum qualifications: Deep, hands-on expertise using AI to design and deliver enablement or learning at scale, such as personalized learning, AI coaching, or guidance in daily workflows Background in user experience design, product management, or workflow design, applied to enablement, learning, or sales tools Have led the design and launch of a product or learning experience at scale, and can show how adoption and results changed Have worked directly with senior sales leaders and frontline managers to secure sponsorship for change, including holding a position constructively when they disagreed Have tested and improved programs with sellers and sales leaders before scaling them Have defined and tracked adoption and impact measures that go beyond completion and satisfaction scores Have run programs across multiple geographies, segments, or roles Preferred qualifications: Experience building and leading a team of senior enablement professionals, and comfort delivering hands-on until you have one A clear, experience-based view of why learning programs often fail to change how sellers work Prior experience in a sales or customer-facing role Experience at an AI company or an enterprise technology company during a period of rapid sales team scaling Hands-on experience building with Claude or similar AI tools to personalize learning or improve how people find knowledge Clear written and spoken communication with executive audiences Experience selecting and running learning platforms and enablement tools 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: $310,000 — $360,000 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 Why You'll Love This Role: As a Sales Representative, SMB you will be part of a regional sales team and the overall face of Newsela in the small-medium business market. You’ll be responsible for building relationships with key decision makers at the school district level in addition to selling Newsela’s suite of products to bring engaging reading content to districts. In your day to day, you will do everything from pipeline management and forecasting, to designing lead generation campaigns and managing sales through the entire lifecycle. You will also become well-versed in your territory’s funding, state initiatives, demographics, and K-12 education landscape, which will help inform your overall sales strategy. What You'll Be Doing: As an individual contributor who is part of a regional sales team, you will have the opportunity to own your territory, manage the entire lifecycle of a sale, and build new business relationships that bring Newsela’s solutions to classrooms. Take ownership of developing territory business plans, evaluating funding landscapes, and tailoring sales strategies to align with district initiatives. In addition to achieving your own revenue targets, you will get to work with an enthusiastic, cross-functional team to catapult Newsela’s growth as we scale our national sales organization. Meet virtually with school and district leaders, presenting solutions, negotiating terms, and securing agreements that bring Newsela into classrooms. Have a direct impact on the expansion and adoption of Newsela products, which will ultimately scale Newsela’s ability to bring engaging, culturally responsive learning content to K-12 classrooms nationwide. Thrive in a role that requires significant autonomy, representing the company in the market, making recommendations that impact strategy and results, and managing priorities independently. Exercise discretion and independent judgment on matters of significance, including evaluating customer needs, structuring tailored solutions, negotiating within established guidelines, and influencing revenue and business outcomes. About You: 2+ years of full-cycle (prospecting through closing) K-12 EdTech sales experience, with a track record of hitting or exceeding large sales quotas, required . Prior experience as an ELA or Social Studies teacher/instructional coach (or a strong grasp of K-12 pedagogy) preferred to truly help connect classroom challenges to the solutions Newsela is building. Demonstrated experience as a strategic territory manager with the executive presence to lead consultative district conversations, navigating multiple stakeholders, and engineering the right solution for each customer. Experience with high-volume district sales, with proven experience building a book of business from scratch. A self-starter with a proven ability to drive sales quickly to a close and thrive in a fast-paced environment. Highly organized, adaptable to change, a fast learner who hits the ground running, maintains high service standards, and meets established sales goals in an agile environment. Excited by opportunities to connect face-to-face to meet with customers and prospects. Travel is estimated to be around 10%, depending on business and customer needs. Open to working flexible hours to meet customer and business needs; Majority of accounts in Eastern and Central time zones. Experiencing using AI tools to drive greater efficiency and productivity. Legally authorized to work in the US. This role is classified is an exempt salaried role and is not eligible for overtime. All offers of employment are contingent upon the successful completion of a background check as part of our pre-employment process. Why you’ll love working at Newsela: Health & Wellness: Comprehensive medical benefits with employer contribution to premiums and to HSA accounts. Additional benefits such as gym reimbursement, pet insurance, free access to the Calm app, Rocket Lawyer and more to help you stay healthy: mind, body, and soul. Work From Home: We are a fully remote company. We provide a monthly tech stipend to support your WFH needs! Supporting ALL Families: Inclusive benefits to support you and your family, including parental leave, fertility support, adoption, and more! Financial Wellbeing: Invest in your future with our 401(k) plan, which includes a employer match to help you build long-term financial security. Time Off: Flexible PTO, paid sick time off, company holidays plus winter break (Dec 24th - Jan 1st). Professional Development: Newsela offers an annual learning and development allowance to employees to attend external training sessions, classes, workshops, conferences, and educational materials to foster professional growth within their current role and career aspirations at Newsela. Make A Difference: No matter your role or department, the work you do each day helps share the future of education and improves the lives of students and teachers. About Newsela: Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner. #LI-Remote Compensation Breakdown : Base salary: $70,000 - $75,000, depending on prior experience On-target commission (OTC): $65,000 On-target earnings (OTE) : $135,000 - $140,000 Final compensation will be determined based on the candidate’s individual skills, qualifications, and experience. Total compensation for this role also includes incentive stock options and benefits. This role will also will also be eligible for variable compensation. On-Target Earnings (OTE) Range $135,000 — $140,000 USD

Location: Remote, US East MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. We are looking for a Business Development Representative to join our growing sales team. In this role, you will be responsible for managing and qualifying inbound demand from Commercial accounts. This role serves as the first point of contact for prospective customers, ensuring timely engagement, effective qualification, and proper routing to Commercial Account Executives. What You Will Do Inbound Lead Management Respond rapidly to all inbound MQLs (pricing and demo requests, content downloads, AIStor trial downloads, etc.). Qualify inbound leads for ICP alignment, workload fit, storage scale, environment, and project timing. Schedule and confirm qualified meetings for Account Executives. Document all research learnings and call notes clearly within CRM to ensure strong AE handoffs. Live Chat Engagement Serve as primary responder for website live chat inquiries. Engage prospects in real time to understand use case and urgency. Convert chat conversations into qualified meetings. Escalate deeper technical questions to Sales Engineering when appropriate. Paid Digital & Campaign Follow-Up Follow up on leads generated from paid media campaigns. Prioritize high-intent digital responses. Provide feedback to marketing on lead quality and trends. Event Recruitment & Follow-Up Support pre-event meeting recruitment and post-event follow-up. Schedule commercial meetings tied to webinars, field events, and conferences. Track event-driven pipeline outcomes. Lead Routing & Assignment Assign inbound leads to the appropriate Account Executive based on territory and segmentation. Ensure accurate and clean handoffs with complete context. Maintain SLA adherence for inbound follow-up. CRM & Reporting Maintain strong CRM hygiene and data accuracy. Track qualification outcomes (meeting held, disqualified, recycled, etc.). Provide insights on inbound conversion trends. Success Metrics Meetings held (not just scheduled) Meeting-to-Stage 1 opportunity conversion rate Speed-to-lead response time Live chat conversion rate AE acceptance rate of meetings Lead routing accuracy CRM data completeness What We Offer Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

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 is seeking an Internal Communications Manager to serve as a dedicated communications partner to our Product organization. Internal communications at Anthropic is not a support function that plans meetings and sends newsletters. The best people in this role operate like advisors who embed themselves deeply in the orgs they support, earn a seat at the leadership table, write on behalf of executives, and see around corners,  anticipating what the organization will need to hear before anyone asks for it. There are traditional elements to the role too, like all-hands planning and org change announcements, and you'll run those with operational excellence. But the heart of the job is more creative and will require you to find ways to connect the rest of the company to some of the most consequential and least visible work at Anthropic, and making the line between that work and our mission clear and strong. Product is the bridge between what our models can do and what our customers’ needs today. Capabilities are improving constantly, and priorities shift as the models improve, and launches can come together very quickly as a result. For much of the company, it can be hard to keep up with what's shipping, what's changing, and why it matters. Your job is to help people make sense of that pace by understanding the work, and the people doing it, well enough to tell its story credibly, and to help its leaders communicate with clarity and candor as the company scales. Responsibilities Own the internal communications strategy for your portfolio, becoming an expert in the team's work and a trusted member of its leadership team Serve as a hands-on advisor to executives - help them think through what to say and when, draft communications in their voice, and give them honest counsel, especially in moments when that’s challenging or uncomfortable. Translate deeply technical work into narratives that land with employees across every function, without losing the substance Get creative about how you connect people to the work - don't default to creating a slide deck when a demo or something no one has tried yet would land better Anticipate communications needs before they arrive (e.g. launches, incidents, organizational change, moments of external attention) and have a plan ready for how we’ll bring employees along Design and implement strategies to boost signal and reduce noise, so employees know what's important and what it means for them Plan and execute internal fora like all-hands and AMAs with operational excellence Exercise sound judgment with sensitive material, especially where security work requires care about what is shared, with whom, and when Partner closely with the broader internal communications team to ensure updates are accurately and consistently cascaded across existing channels and live forums You may be a good fit if you Have 8–12 years of experience in communications or an adjacent craft where you learned to make complex, high-stakes material clear under pressure (e.g journalism, speechwriting, chief of staff work, strategy and operations) Are an exceptional writer with a particular talent for distilling technical decisions and cross-functional projects into simple, compelling narratives, and can write convincingly in someone else's voice Have served as a trusted advisor to senior leaders and know how to build those relationships: when to push, when to listen, and how to deliver a recommendation even when it’s something an exec may not want to hear Can embed credibly with engineers, PMs, and researchers. You are curious about how technical systems work, ask good questions, and earn the trust of people who may be skeptical of comms by default See the big picture and are able to connect individual team updates to company strategy and mission Have a keen eye for organizational culture and can recognize authentic moments worth amplifying Strong candidates may also Have experience communicating about product ,engineering, security, infrastructure, or other  technical domains Have worked at AI companies, frontier tech companies, or other organizations where the technical work moves faster than most people can follow Have built or run internal communications programs during periods of rapid organizational growth 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: $265,000 — $295,000 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 - EMEA Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Things You Get To Do: Primary responsibility for the daily monitoring and surveillance of all customer activity Primary responsibility for daily operational tasks including trading, new accounts, and cash management functions; Cryptocurrency trading executions and exceptions (errors, corrections, etc.) Assist with customer onboarding, including KYC and account approval Review of general ledger accounts, identify and reconcile account discrepancies Support the Anti-Money Laundering Program and investigations that result from suspected suspicious activity Proactively drive impactful changes across workflows, policies and tools Clearly communicate with internal and external partners in an effective, tactical, and insightful manner Ad hoc duties and projects as assigned Global remote location, core time around 9am to 5pm PT (working hours: 8 hours per day, holidays follow the US market holidays) Who You Are (Must-Haves): Excited about what Alpaca is building!! 3+ years of relevant experience in a broker-dealer, financial services, trading or cryptocurrency operations role Bachelor's degree or equivalent experience Familiarity with cryptocurrency, or a strong desire to learn Work effectively and supportively within a team environment as well as work independently Strong attention to detail and problem-solving skills, with the ability to thrive in a fast-paced environment Must possess the ability to adapt to a rapidly changing business and regulatory environment Enjoys challenges and taking ownership of new responsibilities Inspired by Alpaca’s mission and enthusiastic about supporting our customer base and growing the platform Who You Might Be (Nice-to-Haves): Startup mindset for a fast-paced, high-growth environment Familiarity or interest in: FinTech, financial markets, cryptocurrencies, investing applications How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Remote, US - West MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. As the RVP of Sales, Mid-Market, you will be a key member of the sales team, responsible for building and leading the enterprise sales organization, developing scalable processes, and driving revenue growth. You will own the sales strategy, including customer acquisition, revenue forecasting, and team development for this global organization. This is an opportunity to shape the trajectory of a high-potential startup and make a significant impact on the business. What You Will Do Develop and Execute Sales Strategy: Craft and implement a comprehensive sales strategy aligned with company goals, focusing on customer acquisition, retention, and market penetration. Team Leadership: Build, mentor, and scale a high-performing sales team, including sales managers, account executives, and sales engineers. Revenue Growth: Own the revenue targets, drive predictable sales growth, and deliver against ambitious sales quotas. Customer Focus: Identify and pursue strategic enterprise and mid-market opportunities, fostering long-term customer relationships and satisfaction. Go-to-Market Execution: Collaborate with marketing, product, and customer success teams to drive integrated go-to-market strategies and ensure alignment across functions. Sales Operations: Implement and optimize sales processes, tools (e.g., CRM), and methodologies to enhance pipeline management and forecasting accuracy. Strategic Partnerships: Identify and cultivate strategic alliances and channel partnerships to expand market reach and revenue. Market Insight: Stay ahead of industry trends, competitive landscapes, and customer needs to refine sales strategies and inform product development. Your Skills and Experience Experience: 10+ years of progressive sales leadership experience Industry Knowledge: Deep understanding of the object storage market, cloud infrastructure, and data management ecosystems. Track Record: Proven success driving revenue growth in a high-growth startup or fast-paced environment, ideally leading a company from early-stage to scale. Leadership: Strong ability to recruit, develop, and inspire a world-class sales team. Strategic Mindset: Data-driven decision-maker with a strategic, analytical, and entrepreneurial mindset. Communication: Exceptional interpersonal and communication skills, with the ability to influence internal and external stakeholders What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Remote, US - East MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. As the Regional VP of Sales, you will be a key member of the sales team, responsible for building and leading the regional sales organization, developing scalable processes, and driving revenue growth. You will own the sales strategy, including customer acquisition, revenue forecasting, and team development for this global organization. This is an opportunity to shape the trajectory of a high-potential startup and make a significant impact on the business. What You Will Do: Develop and Execute Sales Strategy: Craft and implement a comprehensive sales strategy aligned with company goals, focusing on customer acquisition, retention, and market penetration. Team Leadership: Build, mentor, and scale a high-performing sales team, including sales managers, account executives, and sales engineers. Revenue Growth: Own the revenue targets, drive predictable sales growth, and deliver against ambitious sales quotas. Customer Focus: Identify and pursue strategic enterprise and mid-market opportunities, fostering long-term customer relationships and satisfaction. Go-to-Market Execution: Collaborate with marketing, product, and customer success teams to drive integrated go-to-market strategies and ensure alignment across functions. Sales Operations: Implement and optimize sales processes, tools (e.g., CRM), and methodologies to enhance pipeline management and forecasting accuracy. Strategic Partnerships: Identify and cultivate strategic alliances and channel partnerships to expand market reach and revenue. Market Insight: Stay ahead of industry trends, competitive landscapes, and customer needs to refine sales strategies and inform product development. Your Skills and Experience: Experience: 10+ years of progressive sales leadership experience Industry Knowledge: Deep understanding of the object storage market, cloud infrastructure, and data management ecosystems. Track Record: Proven success driving revenue growth in a high-growth startup or fast-paced environment, ideally leading a company from early-stage to scale. Leadership: Strong ability to recruit, develop, and inspire a world-class sales team. Strategic Mindset: Data-driven decision-maker with a strategic, analytical, and entrepreneurial mindset. Communication: Exceptional interpersonal and communication skills, with the ability to influence internal and external stakeholders What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Account Management team is part of Trust & Safety within Affirm’s Checkout organization. We build secure, intuitive experiences that help customers protect, manage, and recover access to their accounts. Our mission is to make account security seamless without adding unnecessary friction, ensuring customers can confidently use Affirm when and where they need it. Our work spans the full account security journey - from detecting and preventing unauthorized access to enabling self-service recovery and reducing the need for customer support. We own critical experiences like Self-Service Phone Change, Settings & Security Center, and account information updates. These solutions directly impact customer trust, fraud prevention, and Affirm’s ability to scale safely. We're looking for someone who takes ownership, thrives in complexity, and enjoys turning difficult security challenges into simple, meaningful customer experiences. What You'll Do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For You have a total of 8+ years of experience as a software engineer. You are proficient in designing, developing and launching backend systems at scale technologies like Python, Kotlin, AWS, MySQL, and Kubernetes You are proficient in developing web apps using declarative UI frameworks like React or Vue. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Base Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: CAD $181,000 - $241,000 Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Account Management team is part of Trust & Safety within Affirm’s Checkout organization. We build secure, intuitive experiences that help customers protect, manage, and recover access to their accounts. Our mission is to make account security seamless without adding unnecessary friction, ensuring customers can confidently use Affirm when and where they need it. Our work spans the full account security journey - from detecting and preventing unauthorized access to enabling self-service recovery and reducing the need for customer support. We own critical experiences like Self-Service Phone Change, Settings & Security Center, and account information updates. These solutions directly impact customer trust, fraud prevention, and Affirm’s ability to scale safely. We're looking for someone who takes ownership, thrives in complexity, and enjoys turning difficult security challenges into simple, meaningful customer experiences. What You'll Do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For You have a total of 8+ years of experience as a software engineer. You are proficient in designing, developing and launching backend systems at scale technologies like Python, Kotlin, AWS, MySQL, and Kubernetes You are proficient in developing web apps using declarative UI frameworks like React or Vue. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA Pacific base pay range (CA, WA, NY, NJ, CT): $230,000 - $290,000 USA Sapphire base pay range (all other U.S. states): $204,00 - $264,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: New York City, NY Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Job Duties: Break down complex business problems and solving them with analytical rigor. Lead analysis on business performance through data driven analysis to derive insights that will drive business decisions and recommendations. Collaborate with business partners in sales, product, engineering, and marketing to improve data-driven decision making and drive go-to-market efforts. Write Advanced SQL queries to extract actionable insights from data to power business decisions. Analyze and define key metrics that maps to business initiatives. Present insights to an external audience. Test and Measure Impact from key growth initiatives across sales, product and marketing. Drive efficient processes (e.g., quota setting, revenue forecasting, KPI reporting) to further streamline business operations. Experience with analyzing data using Excel, SQL, R, Python, Looker, and Tableau. Part-time telecommuting is an option. Hybrid work from Reddit office in New York, NY. Requirements: Master’s degree, or its foreign degree equivalent, in Computer Science, Engineering (any field) or closely related quantitative discipline and three (3) years of experience in the job offered or in any occupation in related field. Special Skill Requirements: (1) Advanced SQL (2) Google BigQuery (3) Python (4) R Programming (5) Tableau (6) Microsoft Excel (7) Data Modeling (8) ETL Development (9) Data Visualization Tools (10) KPI and Metrics Development (11) Large Language Model (LLM) Applications (12) Prompt Engineering (13) Jira (14) Confluence. Any suitable combination of education, training and experience is acceptable. Part-time telecommuting is an option. Hybrid work from Reddit office in New York, NY. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Submit a resume with references using the apply button on this posting or by email at: applicationsreview@reddit.com at Req.# 1016.57.3. Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. The base pay range for this position is: $159,100.00 - $185,600.00 USD #LI-DNI In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: San Francisco, CA Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Job Duties: Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization. Take full ownership of the ML lifecycle, from ideation and research to building scalable serving systems and maintaining models in production. Perform systematic feature engineering to transform raw, diverse data into high-quality features that drive model performance. Work closely with product managers, data scientists, and engineers to translate business challenges into effective ML solutions. Improve the reliability and stability of our ML systems by building robust monitoring, alerting, and automated retraining pipelines. Research new algorithms, stay up-todate with state-of-the-art ML techniques, and contribute to the team’s strategy and roadmap. Part-time telecommuting is an option. Hybrid work from Reddit offices in San Francisco, CA. Requirements: Master’s degree, or its foreign degree equivalent, in Computer Science, Robotics, Engineering (any field), or a related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field. Special Skill Requirements: (1) PII Data handling; (2) Kafka Infrastructure; (3) Data governance; (4) Batch data pipeline; (5) SLOs; (6) Graph service; (7) ML models; (8) XGboost; (9) LLM; (10) Google Cloud Platform. Any suitable combination of education, training and experience is acceptable. Part-time telecommuting is an option. Hybrid work from Reddit offices in San Francisco, CA. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Submit a resume with references using the apply button on this posting or by email at: applicationsreview@reddit.com at Req.# 1016.298.4. Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. The base pay range for this position is: $216,700.00 - $303,400.00 USD #LI-DNI In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: San Francisco, CA Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Job Duties: Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta analysis, and clearly communicate results to stakeholders up to the Csuite to take action based on the recommendations. Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from AB tests. Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly. Design, evaluate, and/or measure team level KPIs to enable quarterly goal setting and demonstrate team impact. Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes. Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making. Full-time telecommuting is an option. Requirements: Master’s degree, or its foreign degree equivalent, in Data Science, Statistics, Machine Learning, Operations Research, Economics, Computer Science, Engineering (any field), or a related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field OR Bachelor’s degree, or its foreign degree equivalent, in Data Science, Statistics, Machine Learning, Operations Research, Economics, Computer Science, Engineering (any field), or a related quantitative discipline and five (5) years of progressively responsible experience in the job offered or in any occupation in related field. Special Skill Requirements: (1) A/B Testing & Experimentation Design; (2) Causal Inference & Incrementality Measurement; (3) Statistical Modeling & Data Analysis; (4) ETL Development and maintenance; (5) KPI Design and Goal Setting; (6) Cross – Functional collaboration; (7) Data Visualization and Reporting; (8) Python and SQL; (9) Machine Learning and predictive modeling. Any suitable combination of education, training and/or experience is acceptable. Full-time telecommuting is an option. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Submit a resume with references using the apply button on this posting or by email at: applicationsreview@reddit.com at Req.# 1016.244.3 . Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. The base pay range for this position is: $229,000.00 - $267,100.00 USD #LI-DNI In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: New York, NY Workplace: OnSite About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Norwest, Galaxy Ventures, Dragonfly, Bessemer Venture Partners, FirstMark, Lightspeed, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. What we're looking for Rain is looking for a Sales Engineer, in this role, you’ll work closely with our business development team, and our engineering team to help prospects deeply understand Rain’s capabilities, scope technical fit, and move quickly from interest to deployment. This is a high-impact, cross-functional role that blends product knowledge, customer empathy, and communication skills. You’ll be a critical bridge between our customers and our technical roadmap, and will shape how we scale sales engineering as Rain grows. What You'll Do - Partner with Business Development team to lead product demos, build proof-of-concepts, and answer in-depth technical and operational questions from prospects. - Serve as the product and infrastructure expert in sales conversations - Collaborate with product and engineering to provide structured customer feedback and influence roadmap decisions. - Work directly with prospective customers to model integrations - Create technical content and resources to enable our Business Development and Customer Support teams, including solution diagrams, data architecture docs, and integration walkthroughs. What you will bring to Rain - 3+ years as a Sales Engineer, Solutions Consultant, or Implementation Specialist at a fast-growing SaaS company. - You’re comfortable explaining complex products to both technical and non-technical audiences. - You love working directly with customers and solving real business problems through software. - You have experience integrating with financial systems - You thrive in early-stage environments where you can build processes from scratch. Desirable but not mandatory - Experience with Enterprise Sales - Experience working in fintech or with financial data pipelines. - Familiarity with CRMs like Hubspot. Things that enable a fulfilling, healthy and happy experience at Rain: Flexible time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.